Pub Date : 2024-02-22DOI: 10.56028/aetr.9.1.699.2024
Jieyi Zhang, Yicui Liao, Zhiyuan Ren
Dandelion originated in the Mediterranean coastal region, under suitable conditions, its seeds can spread and spread with the wind, and there are a large number of seeds. This article uses the WINDISPER-L model to analyze the propagation distance of seeds under different settling rates, settling heights, and wind speeds. And it was considered that the number of seeds and inflorescences may vary due to random factors such as climate during different growth cycles. After four growth cycles, most of the dandelion falls about 30 meters away from its mother body and grows and reproduces normally. Subsequently, when establishing a risk assessment system for invasive species, three aspects were considered: the characteristics of the species themselves, the natural environment, and human activities. The Analytic Hierarchy Process (AHP) was used to assign weights to indicators at each level, and ultimately all indicators at all levels passed the consistency test. And use a risk assessment system to calculate the potential risks that may arise from the invasion of dandelion, Canadian Solidago, and Ambrosia trifida. This can provide some inspiration and reference for corresponding managers in evaluating whether a species is an invasive species.
{"title":"The risk of dandelion invasion","authors":"Jieyi Zhang, Yicui Liao, Zhiyuan Ren","doi":"10.56028/aetr.9.1.699.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.699.2024","url":null,"abstract":"Dandelion originated in the Mediterranean coastal region, under suitable conditions, its seeds can spread and spread with the wind, and there are a large number of seeds. This article uses the WINDISPER-L model to analyze the propagation distance of seeds under different settling rates, settling heights, and wind speeds. And it was considered that the number of seeds and inflorescences may vary due to random factors such as climate during different growth cycles. After four growth cycles, most of the dandelion falls about 30 meters away from its mother body and grows and reproduces normally. Subsequently, when establishing a risk assessment system for invasive species, three aspects were considered: the characteristics of the species themselves, the natural environment, and human activities. The Analytic Hierarchy Process (AHP) was used to assign weights to indicators at each level, and ultimately all indicators at all levels passed the consistency test. And use a risk assessment system to calculate the potential risks that may arise from the invasion of dandelion, Canadian Solidago, and Ambrosia trifida. This can provide some inspiration and reference for corresponding managers in evaluating whether a species is an invasive species.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"8 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140438967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.56028/aetr.9.1.744.2024
Yihan Tian
Load forecasting of the power system plays a key role in the production planning and actual operation scheduling of power systems. However, as the power system becomes larger and more complex, it is very important to propose a forecasting model with high accuracy and low computational cost. In this paper, a novel short-term load forecasting model is proposed, which combines the empirical wavelet transform (EWT) and the broad learning system (BLS). The advantage of EWT is that it can decompose the signal into multiple local frequency bands, select the local wavelet function adaptively, and overcome the modal mixing problem caused by the discontinuity of the signal time-frequency scale. While, the advantage of BLS is that it allows the model to learn more by stretching the width, and uses ridge regression to make it less time consuming and faster. To verify the effectiveness, the model is compared with some other state-of-the-art methods, and several performance estimations indicate that the model has high accuracy and low computational cost.
{"title":"A novel decomposition-based ensemble broad learning system for short-term load forecasting","authors":"Yihan Tian","doi":"10.56028/aetr.9.1.744.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.744.2024","url":null,"abstract":"Load forecasting of the power system plays a key role in the production planning and actual operation scheduling of power systems. However, as the power system becomes larger and more complex, it is very important to propose a forecasting model with high accuracy and low computational cost. In this paper, a novel short-term load forecasting model is proposed, which combines the empirical wavelet transform (EWT) and the broad learning system (BLS). The advantage of EWT is that it can decompose the signal into multiple local frequency bands, select the local wavelet function adaptively, and overcome the modal mixing problem caused by the discontinuity of the signal time-frequency scale. While, the advantage of BLS is that it allows the model to learn more by stretching the width, and uses ridge regression to make it less time consuming and faster. To verify the effectiveness, the model is compared with some other state-of-the-art methods, and several performance estimations indicate that the model has high accuracy and low computational cost.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"98 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140444185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.56028/aetr.9.1.715.2024
Ziyue Zhang, Zijing Wang, Song Xiao
With the rapid development and increasing demands for the high-speed railway in China, it is of great significance to examine the defects of the high-speed train and ensure the safety of the operating railway. In the actual operation of the high-speed train, there is a split-phase section to transit the train to the next substation power supply arm. In this particular stage, operational overvoltage would occur as the VCB and the pantograph switch on and off, which threatens the safety of the operation of high-speed trains and contributes to the breakdown of transformer windings, which is indispensable in transformer operation. In this work, a finite element model of shell type on board traction transformer is constructed and multi-physics field simulation results, including electromagnetic field, temperature field, and flow velocity field, are analyzed to investigate the potential risky spots in the practical operation of high-speed train under overvoltage impulse, which could be supportive in maintaining the devices and detecting the winding defects.
{"title":"Analysis of overvoltage impact on shell-type on-board traction transformer by multi-physics field simulation","authors":"Ziyue Zhang, Zijing Wang, Song Xiao","doi":"10.56028/aetr.9.1.715.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.715.2024","url":null,"abstract":"With the rapid development and increasing demands for the high-speed railway in China, it is of great significance to examine the defects of the high-speed train and ensure the safety of the operating railway. In the actual operation of the high-speed train, there is a split-phase section to transit the train to the next substation power supply arm. In this particular stage, operational overvoltage would occur as the VCB and the pantograph switch on and off, which threatens the safety of the operation of high-speed trains and contributes to the breakdown of transformer windings, which is indispensable in transformer operation. In this work, a finite element model of shell type on board traction transformer is constructed and multi-physics field simulation results, including electromagnetic field, temperature field, and flow velocity field, are analyzed to investigate the potential risky spots in the practical operation of high-speed train under overvoltage impulse, which could be supportive in maintaining the devices and detecting the winding defects.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"3 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140442881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.56028/aetr.9.1.732.2024
Yongcheng Ming, Rongbiao Yan, Yiwei Ma, Kaibi Zhang, Luning Lei
In response to the low level of agricultural production automation and labor shortage, to improve the efficiency of agricultural machinery utilization and the reliability of automatic navigation, this paper designs an intelligent agricultural machinery system based on OpenMV for multi-vehicle unmanned following operations. Firstly, the kinematics of the agricultural machinery vehicle is analyzed, the path recognition and location line extraction are carried out using the OpenMV vision module, and the agricultural machinery steering control system is designed using the cascade PID closed-loop control technology, which achieves accurate steering control and path tracking on straight lines and curves. Subsequently, using embedded microcontrollers to manage the workflow, utilizing OpenMV visual modules to receive, store, and process positioning information, and sending control instructions to execution units such as the TB6612FNG motor drive module. Moreover, in response to the communication issues involving multiple HC-05 Bluetooth modules in the system's multi-vehicle communication, corresponding protocol specifications have been developed, and combined with the use of the HC-SR04 ultrasonic module to maintain dual vehicle distance and obstacle detection, achieving multi-vehicle collaborative following operations. The experimental results show that the system achieves a path recognition navigation accuracy of 93.4% and a communication success rate of 97.5% in simulating the process of farm harvesting and transportation, effectively proving the multi-vehicle collaboration of the system in the paper
{"title":"Multi-Vehicle Unmanned Following Operation Driving System Based on OpenMV","authors":"Yongcheng Ming, Rongbiao Yan, Yiwei Ma, Kaibi Zhang, Luning Lei","doi":"10.56028/aetr.9.1.732.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.732.2024","url":null,"abstract":"In response to the low level of agricultural production automation and labor shortage, to improve the efficiency of agricultural machinery utilization and the reliability of automatic navigation, this paper designs an intelligent agricultural machinery system based on OpenMV for multi-vehicle unmanned following operations. Firstly, the kinematics of the agricultural machinery vehicle is analyzed, the path recognition and location line extraction are carried out using the OpenMV vision module, and the agricultural machinery steering control system is designed using the cascade PID closed-loop control technology, which achieves accurate steering control and path tracking on straight lines and curves. Subsequently, using embedded microcontrollers to manage the workflow, utilizing OpenMV visual modules to receive, store, and process positioning information, and sending control instructions to execution units such as the TB6612FNG motor drive module. Moreover, in response to the communication issues involving multiple HC-05 Bluetooth modules in the system's multi-vehicle communication, corresponding protocol specifications have been developed, and combined with the use of the HC-SR04 ultrasonic module to maintain dual vehicle distance and obstacle detection, achieving multi-vehicle collaborative following operations. The experimental results show that the system achieves a path recognition navigation accuracy of 93.4% and a communication success rate of 97.5% in simulating the process of farm harvesting and transportation, effectively proving the multi-vehicle collaboration of the system in the paper","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140445144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.56028/aetr.9.1.723.2024
Chengzhi Zhou
Intelligent autonomous mobile robots find diverse applications across various fields. This article delves into the optimization of path search planning and implementation for these robots in specific scenarios. The study enhances the traditional right-hand principle's search strategy, integrating a forward-looking approach grounded in the goal-oriented law with A* algorithm path planning. Emphasizing the algorithm's lightweight and high efficiency, the study also considers its interaction with hardware systems. The real-world application scenario is abstracted into a two-dimensional planar environment. Collaborative efforts between hardware and software systems result in a comprehensive robot system, validated through tests ensuring swift navigation from the starting point to the endpoint along the planned path.
{"title":"Enhancing 2D Path Search and PID Control for Autonomous Mobile Robots: A* Algorithm Optimization and Hardware","authors":"Chengzhi Zhou","doi":"10.56028/aetr.9.1.723.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.723.2024","url":null,"abstract":" Intelligent autonomous mobile robots find diverse applications across various fields. This article delves into the optimization of path search planning and implementation for these robots in specific scenarios. The study enhances the traditional right-hand principle's search strategy, integrating a forward-looking approach grounded in the goal-oriented law with A* algorithm path planning. Emphasizing the algorithm's lightweight and high efficiency, the study also considers its interaction with hardware systems. The real-world application scenario is abstracted into a two-dimensional planar environment. Collaborative efforts between hardware and software systems result in a comprehensive robot system, validated through tests ensuring swift navigation from the starting point to the endpoint along the planned path.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"122 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140443576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.56028/aetr.9.1.708.2024
Ruimin Li
The current inversion methods based on pattern recognition method, database search method, genetic algorithm and other inversion methods are difficult to solve the absolute convergence problem of structural modulus inversion for asphalt pavements with more than three layers, while the deep learning models and methods widely used in the scenarios of image recognition, speech recognition, etc. as well as the ways to implement them have been increasingly improved, and they can be applied to solve the problem of structural modulus inversion for asphalt pavements. This study aims to solve the modulus inversion problem of multi-layer asphalt pavement structures, obtaining enough theoretical bending basin data of asphalt pavement structures as training samples through mechanical theory and programming calculations, and using the BP neural network model to train the prediction model of structural layer modulus inversion. The test results show that the BP neural network inverse asphalt pavement structural modulus model established in this paper can not only get the prediction results quickly and effectively, but also the prediction results have high accuracy, which provides an effective way for solving the modulus inversion problem of asphalt pavement structure with more than three layers by using the BP neural network to solve the pain point and bottleneck problems in the industry.
{"title":"Research on structural modulus inversion method of asphalt pavement based on BP neural networ","authors":"Ruimin Li","doi":"10.56028/aetr.9.1.708.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.708.2024","url":null,"abstract":"The current inversion methods based on pattern recognition method, database search method, genetic algorithm and other inversion methods are difficult to solve the absolute convergence problem of structural modulus inversion for asphalt pavements with more than three layers, while the deep learning models and methods widely used in the scenarios of image recognition, speech recognition, etc. as well as the ways to implement them have been increasingly improved, and they can be applied to solve the problem of structural modulus inversion for asphalt pavements. This study aims to solve the modulus inversion problem of multi-layer asphalt pavement structures, obtaining enough theoretical bending basin data of asphalt pavement structures as training samples through mechanical theory and programming calculations, and using the BP neural network model to train the prediction model of structural layer modulus inversion. The test results show that the BP neural network inverse asphalt pavement structural modulus model established in this paper can not only get the prediction results quickly and effectively, but also the prediction results have high accuracy, which provides an effective way for solving the modulus inversion problem of asphalt pavement structure with more than three layers by using the BP neural network to solve the pain point and bottleneck problems in the industry.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"181 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140445039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.56028/aetr.9.1.687.2024
Yihan Chen, Tianqing Du, Qi Zhang, Ning Zhang
Invasive species, like dandelions, threaten biodiversity and bring economic and ecological risks. It is important to evaluate whether they are beneficial and their interactions with local species. This article stimulates the occurrence of invasion, evaluates the influencing factors of three species, and finally provides their invasive ranking. We used the Vensim model to dynamically simulate the intrusion process and supplemented it with an Agent Based Model (ABS). Under all other conditions, we found that for every 10% increase in birth rate, the number of dandelions increases by nearly 20%. We construct an Analytical Hierarchy Process (AHP) model to calculate the impact factor for different species. Our models have passed sensitivity tests. The model deepens our understanding of the dynamic process of species invasion and provides a theoretical framework for the identification and control of invasive species. In the future we will improve the models by collecting more comprehensive meteorological data to demonstrate the impact of seasons on seeding processes and try to displace number of Google search results to surveys on ecology experts to promote the scientific basis of our impact factor.
{"title":"Analysis and Evaluation of Species Invasion","authors":"Yihan Chen, Tianqing Du, Qi Zhang, Ning Zhang","doi":"10.56028/aetr.9.1.687.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.687.2024","url":null,"abstract":"Invasive species, like dandelions, threaten biodiversity and bring economic and ecological risks. It is important to evaluate whether they are beneficial and their interactions with local species. This article stimulates the occurrence of invasion, evaluates the influencing factors of three species, and finally provides their invasive ranking. We used the Vensim model to dynamically simulate the intrusion process and supplemented it with an Agent Based Model (ABS). Under all other conditions, we found that for every 10% increase in birth rate, the number of dandelions increases by nearly 20%. We construct an Analytical Hierarchy Process (AHP) model to calculate the impact factor for different species. Our models have passed sensitivity tests. The model deepens our understanding of the dynamic process of species invasion and provides a theoretical framework for the identification and control of invasive species. In the future we will improve the models by collecting more comprehensive meteorological data to demonstrate the impact of seasons on seeding processes and try to displace number of Google search results to surveys on ecology experts to promote the scientific basis of our impact factor.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"12 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140442084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.56028/aetr.9.1.677.2024
Zixin Wang, Shaoyu Li, Yuqiao Song, Jinhao Yao
With the rapid growth of global trade and tourism, the phenomenon of species invasion is becoming increasingly serious. Invasive species often have a significant impact on native ecosystems, disrupting ecological balance and threatening biodiversity. Therefore, it is essential to conduct in-depth research on invasive species. Dandelion, due to its strong reproductive ability, is considered a common invasive plant, but its application value in medicine, food, and ornamental uses cannot be ignored. Therefore, this article aims to establish a mathematical model to explore the relationship between invasive species and human activities and take Dandelion as an example to establish a comprehensive prediction and evaluation model for detailed analysis.
{"title":"Taking Dandelion as an Example: Exploring a Comprehensive Prediction and Evaluation Model for Invasive Species","authors":"Zixin Wang, Shaoyu Li, Yuqiao Song, Jinhao Yao","doi":"10.56028/aetr.9.1.677.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.677.2024","url":null,"abstract":"With the rapid growth of global trade and tourism, the phenomenon of species invasion is becoming increasingly serious. Invasive species often have a significant impact on native ecosystems, disrupting ecological balance and threatening biodiversity. Therefore, it is essential to conduct in-depth research on invasive species. Dandelion, due to its strong reproductive ability, is considered a common invasive plant, but its application value in medicine, food, and ornamental uses cannot be ignored. Therefore, this article aims to establish a mathematical model to explore the relationship between invasive species and human activities and take Dandelion as an example to establish a comprehensive prediction and evaluation model for detailed analysis.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"37 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140444313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective To improve the nursing strategy of critically ill neonatal transport and provide guidance for neonatal transport nursing through the study of critically ill neonatal transport. Methods From January 2020 to July 2023, according to the specific requirements and management regulations of epidemic prevention and control, our hospital established a strict and standardized transport plan, carried out transport tasks for 472 newborns who met the transport indications, and organization and management in the transport process; full security protection policy ;the improvement of transport quality and psychological support of family members were studied and analyzed. Results All 472 neonates arrived at the transport hospital safely, their condition did not worsen, their vital signs were stable, and the accompanying medical personnel and drivers did not have infection symptoms. Conclusion This study concluded that in the process of critically ill neonatal transport, the corresponding quality improvement was made in all aspects, which significantly improved the safety of transport during the epidemic period, met the needs of primary hospitals, ensured the life treatment of critically ill children, and maintained the integrity of the medical system.
{"title":"Study On The Improvement Of Precise Transfer Process For Critically Ill Neonates","authors":"Xin Wang, Chaoxue Guo, Zhiyi Li, Yuchi Liu, Linlin Wang, Yuxian Gao","doi":"10.56028/aetr.9.1.841.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.841.2024","url":null,"abstract":"Objective To improve the nursing strategy of critically ill neonatal transport and provide guidance for neonatal transport nursing through the study of critically ill neonatal transport. Methods From January 2020 to July 2023, according to the specific requirements and management regulations of epidemic prevention and control, our hospital established a strict and standardized transport plan, carried out transport tasks for 472 newborns who met the transport indications, and organization and management in the transport process; full security protection policy ;the improvement of transport quality and psychological support of family members were studied and analyzed. Results All 472 neonates arrived at the transport hospital safely, their condition did not worsen, their vital signs were stable, and the accompanying medical personnel and drivers did not have infection symptoms. Conclusion This study concluded that in the process of critically ill neonatal transport, the corresponding quality improvement was made in all aspects, which significantly improved the safety of transport during the epidemic period, met the needs of primary hospitals, ensured the life treatment of critically ill children, and maintained the integrity of the medical system.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"10 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140452176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-19DOI: 10.56028/aetr.9.1.770.2024
Xiangchao Wang
In the development of social construction, all walks of life have the application of data mining technology, with the continuous development of science and technology, data mining technology can not only use the hidden law to solve the problem of time, but also can grasp more valuable data in the increasingly competitive social environment. Originally, after understanding the application research status of big data mining technology, based on the application of big data mining technology with neural network as the core, empirical analysis was carried out with Guanhealth big data intelligent analysis system as an example, in order to verify the unique value of data mining technology.
{"title":"Research on the application of big data mining technology based on neural network","authors":"Xiangchao Wang","doi":"10.56028/aetr.9.1.770.2024","DOIUrl":"https://doi.org/10.56028/aetr.9.1.770.2024","url":null,"abstract":"In the development of social construction, all walks of life have the application of data mining technology, with the continuous development of science and technology, data mining technology can not only use the hidden law to solve the problem of time, but also can grasp more valuable data in the increasingly competitive social environment. Originally, after understanding the application research status of big data mining technology, based on the application of big data mining technology with neural network as the core, empirical analysis was carried out with Guanhealth big data intelligent analysis system as an example, in order to verify the unique value of data mining technology.","PeriodicalId":355471,"journal":{"name":"Advances in Engineering Technology Research","volume":"88 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140452232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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