Pub Date : 2019-11-01DOI: 10.2991/pntim-19.2019.90
Liu Qing, Tang Wei, Liu Xu
The data exchange processing technology in the grid communication data technology system can be calculated for scenarios with real-time analysis requirements. It has the characteristics of real-time calculation, low latency and high scalability, and provides a new idea for solving the problem of exchange and sharing of grid communication data. Therefore, the data real-time exchange processing technology in the paper is applied to grid communication data exchange problem, and the semantic similarity calculation is combined to realize a data exchange strategy without uniform data standard, and the architecture model of supporting platform is designed to provide reference for the exchange and sharing of grid
{"title":"Research on Real-Time Exchange Strategy Model Based on Grid Communication Data","authors":"Liu Qing, Tang Wei, Liu Xu","doi":"10.2991/pntim-19.2019.90","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.90","url":null,"abstract":"The data exchange processing technology in the grid communication data technology system can be calculated for scenarios with real-time analysis requirements. It has the characteristics of real-time calculation, low latency and high scalability, and provides a new idea for solving the problem of exchange and sharing of grid communication data. Therefore, the data real-time exchange processing technology in the paper is applied to grid communication data exchange problem, and the semantic similarity calculation is combined to realize a data exchange strategy without uniform data standard, and the architecture model of supporting platform is designed to provide reference for the exchange and sharing of grid","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133166365","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}
The modeling of network intrusion detection is an important network security protection technology. The current network intrusion detection model can not accurately describe the intrusion behavior, resulting in incomplete network intrusion detection. Therefore, a network intrusion detection model based on machine learning algorithm was designed. In addition, support vector machine (SVM) fits the mapping relationship between network intrusion detection characteristics and network intrusion behavior, and established a network intrusion detection model that reflected the relationship between the two aspects. Finally, the experimental results showed that the model not only can accurately identify the network intrusion behavior, but also has a very fast detection speed. It has obtained better network intrusion detection results than other models, and had a wide application prospect. Keywords-Network Intrusion Detection; Machine Learning; SVM; Network Security
{"title":"Construction and Application of Machine Learning Model in Network Intrusion Detection","authors":"Qi Guanglei, Chen Zhijiang, Zhao Haiying, Wu Chensheng","doi":"10.2991/pntim-19.2019.83","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.83","url":null,"abstract":"The modeling of network intrusion detection is an important network security protection technology. The current network intrusion detection model can not accurately describe the intrusion behavior, resulting in incomplete network intrusion detection. Therefore, a network intrusion detection model based on machine learning algorithm was designed. In addition, support vector machine (SVM) fits the mapping relationship between network intrusion detection characteristics and network intrusion behavior, and established a network intrusion detection model that reflected the relationship between the two aspects. Finally, the experimental results showed that the model not only can accurately identify the network intrusion behavior, but also has a very fast detection speed. It has obtained better network intrusion detection results than other models, and had a wide application prospect. Keywords-Network Intrusion Detection; Machine Learning; SVM; Network Security","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133611226","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 : 2019-11-01DOI: 10.2991/pntim-19.2019.61
Cheng Wen, Cao Yan, Fan QingMing, Shen Bing
The research object of this paper is a kind of carbon fiber composite material that is used in a special UAV in a certain marine area. The purpose of the research is to understand the material properties of this composite in extreme hot and humid environments. First of all, this material was subjected to a 24-hour cycle damp heat test that lasted sixty days. The test temperature was 70°C and the relative humidity is 85%. The results of the damp heat test basically reflected the hygroscopic property of the composite material accorded with Fick's first law. Secondly, since the components of the UAV structure that use this material are primarily subjected to bending loads, three-point bending tests were conducted with the specimens subjected to different stages of damp heat tests. Finally, the decay of the bending properties of this composite material in the hygrothermal condition was obtained by the experimental data analysis, which provides technical support for its applications in engineering. Keywords-Carbon Fiber Composite Material; Damp Heat Test; Hygroscopic Property; Three-Point Bending Test
{"title":"Study on the Moisture Absorption and Bending of Carbon Fiber Composite Material","authors":"Cheng Wen, Cao Yan, Fan QingMing, Shen Bing","doi":"10.2991/pntim-19.2019.61","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.61","url":null,"abstract":"The research object of this paper is a kind of carbon fiber composite material that is used in a special UAV in a certain marine area. The purpose of the research is to understand the material properties of this composite in extreme hot and humid environments. First of all, this material was subjected to a 24-hour cycle damp heat test that lasted sixty days. The test temperature was 70°C and the relative humidity is 85%. The results of the damp heat test basically reflected the hygroscopic property of the composite material accorded with Fick's first law. Secondly, since the components of the UAV structure that use this material are primarily subjected to bending loads, three-point bending tests were conducted with the specimens subjected to different stages of damp heat tests. Finally, the decay of the bending properties of this composite material in the hygrothermal condition was obtained by the experimental data analysis, which provides technical support for its applications in engineering. Keywords-Carbon Fiber Composite Material; Damp Heat Test; Hygroscopic Property; Three-Point Bending Test","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125000533","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 : 2019-11-01DOI: 10.2991/pntim-19.2019.91
Lu Haiqiang, Lu Shuijin, Mo Yujie
Energy storage charging pile participating in the joint operation of power grid can not only reduce the cost of power grid expansion, but also obtain the benefit of participating in the auxiliary management service of power grid demand side response, so as to reduce operation cost. In this paper, energy storage charging pile is used to participate in the joint operation optimization of grid demand side response, and a model of optimal allocation of container energy storage in distribution network is proposed. Based on operation strategy of Optical storage charging station vehicle, the model aims to maximize investor's income in investment cycle, considering the income of participating in the voltage regulation, the subsidy income of delaying upgrading of distribution network, its investment and operation cost, and considering the constraints of voltage regulation of distribution network, the conversion of access nodes, energy conservation, etc., so as to optimize the number and rated capacity of Optical storage charging station vehicle. Finally, the case study of ieee33 node system is carried out. The results show that optimal configuration model can make investors of optical storage charging station gain profits and improve the economy of optical storage charging station. Keywords-Distribution Network; Container Energy Storage; Optimal Configuration; Voltage Control
{"title":"Research on Configuration Strategy of Optical Storage Charging Station","authors":"Lu Haiqiang, Lu Shuijin, Mo Yujie","doi":"10.2991/pntim-19.2019.91","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.91","url":null,"abstract":"Energy storage charging pile participating in the joint operation of power grid can not only reduce the cost of power grid expansion, but also obtain the benefit of participating in the auxiliary management service of power grid demand side response, so as to reduce operation cost. In this paper, energy storage charging pile is used to participate in the joint operation optimization of grid demand side response, and a model of optimal allocation of container energy storage in distribution network is proposed. Based on operation strategy of Optical storage charging station vehicle, the model aims to maximize investor's income in investment cycle, considering the income of participating in the voltage regulation, the subsidy income of delaying upgrading of distribution network, its investment and operation cost, and considering the constraints of voltage regulation of distribution network, the conversion of access nodes, energy conservation, etc., so as to optimize the number and rated capacity of Optical storage charging station vehicle. Finally, the case study of ieee33 node system is carried out. The results show that optimal configuration model can make investors of optical storage charging station gain profits and improve the economy of optical storage charging station. Keywords-Distribution Network; Container Energy Storage; Optimal Configuration; Voltage Control","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131985457","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}
The drainage gas recovery operation with small-diameter continuous pipes is applicable to the one in natural gas well with low pressure, low production and low water content. Its advantages exhibit as the following: 1) high efficiency on continuous running of pipe string under pressure; 2) production while operation; 3) correct monitoring the position of ejection head; and 4) précised control of ejection quantity. Due to the small diameter, thin wall thickness and relative low rigidity of pipe string, it is easy to cause bending and deformation during down-hole process and affect the capability of small diameter pipe operation. Aiming at shutting and opening of the well, this thesis analyzes the force of the small-diameter pipe during down process, establishes the corresponding digital model and proposes the calculating method required to run the small-diameter pipes under different status. Taking G25-5 well as example, the appropriate minimum length of weight bar under different working status is given to verify the validness of the method to determine the minimum length of weight bar. Keywords-Skid-Mounted Small-Diameter Pipe; Drainage Gas Recovery & Weight Bar
{"title":"Research on Minimum Length Calculation of Skid-Mounted Small-Diameter Pipe Weight Bar","authors":"X. Jijun","doi":"10.2991/pntim-19.2019.2","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.2","url":null,"abstract":"The drainage gas recovery operation with small-diameter continuous pipes is applicable to the one in natural gas well with low pressure, low production and low water content. Its advantages exhibit as the following: 1) high efficiency on continuous running of pipe string under pressure; 2) production while operation; 3) correct monitoring the position of ejection head; and 4) précised control of ejection quantity. Due to the small diameter, thin wall thickness and relative low rigidity of pipe string, it is easy to cause bending and deformation during down-hole process and affect the capability of small diameter pipe operation. Aiming at shutting and opening of the well, this thesis analyzes the force of the small-diameter pipe during down process, establishes the corresponding digital model and proposes the calculating method required to run the small-diameter pipes under different status. Taking G25-5 well as example, the appropriate minimum length of weight bar under different working status is given to verify the validness of the method to determine the minimum length of weight bar. Keywords-Skid-Mounted Small-Diameter Pipe; Drainage Gas Recovery & Weight Bar","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132067136","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 : 2019-11-01DOI: 10.2991/pntim-19.2019.34
L. Yufei, Y. Li
With the coming of the "5 g era", intelligence, digital transformation is a major problem faced by radio, film and television networks. This paper uses the k-means algorithm to analyze its market demand data. According to the clustering analysis, the key attributes of broadcasting network products in the future are extracted. The clustering results can be divided into three categories, and then infer the trend of its technology development: First, the promotion of digital technology, which is from video, audio, text compression coding and modulation transmission, so that the content storage capacity is more abundant, data transmission more rapid. Second, the continuous upgrading of operation platform technology, middleware and system integration technology, including standardization technology, full-service support technology and platform establishment. Third, the improvement of basic network technology, which is from network access technology to network transmission technology, the formation of advanced technology entry point and transmission fluency. Fourth, the optimization of network technology, which is from the network architecture, to form an integrated, mature network system. Keywords-Intelligent Products; K-Means Algorithm; Clustering Analysis
{"title":"Research on the Development Trend of Broadcasting Network Technology Based on K-Means Algorithm","authors":"L. Yufei, Y. Li","doi":"10.2991/pntim-19.2019.34","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.34","url":null,"abstract":"With the coming of the \"5 g era\", intelligence, digital transformation is a major problem faced by radio, film and television networks. This paper uses the k-means algorithm to analyze its market demand data. According to the clustering analysis, the key attributes of broadcasting network products in the future are extracted. The clustering results can be divided into three categories, and then infer the trend of its technology development: First, the promotion of digital technology, which is from video, audio, text compression coding and modulation transmission, so that the content storage capacity is more abundant, data transmission more rapid. Second, the continuous upgrading of operation platform technology, middleware and system integration technology, including standardization technology, full-service support technology and platform establishment. Third, the improvement of basic network technology, which is from network access technology to network transmission technology, the formation of advanced technology entry point and transmission fluency. Fourth, the optimization of network technology, which is from the network architecture, to form an integrated, mature network system. Keywords-Intelligent Products; K-Means Algorithm; Clustering Analysis","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132138031","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 : 2019-11-01DOI: 10.2991/pntim-19.2019.77
Dou Li, Li Li
{"title":"Evaluation of Open Utilization of Digital Archives Information System","authors":"Dou Li, Li Li","doi":"10.2991/pntim-19.2019.77","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.77","url":null,"abstract":"","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121947497","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 : 2019-11-01DOI: 10.2991/pntim-19.2019.31
Han Zhao, Cao Wei, W. Dong, Ruan Shaolong
In order to prevent the catastrophic accidents caused by the failure of the reducer, based on virtual technology such as CAD/CAE and Solidworks, the friction and vibration testing device of planetary gear reducer was designed, and the weak links of the transmission device were found out, its life and working efficiency has also been improved. In addition, in order to judge the correctness of the design of planetary gear reducer transmission device and optimized the design process of the reducer, Solidworks was used to build the three-dimensional model of the test bench and Adams was used to simulate the motion of the planetary gearbox transmission system. Keywords-Optimization Design; Test Bench; Reducer; Dynamics Analysis
{"title":"Design and Dynamic Simulation of Friction - Vibration Test Rig for Planetary Gearbox","authors":"Han Zhao, Cao Wei, W. Dong, Ruan Shaolong","doi":"10.2991/pntim-19.2019.31","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.31","url":null,"abstract":"In order to prevent the catastrophic accidents caused by the failure of the reducer, based on virtual technology such as CAD/CAE and Solidworks, the friction and vibration testing device of planetary gear reducer was designed, and the weak links of the transmission device were found out, its life and working efficiency has also been improved. In addition, in order to judge the correctness of the design of planetary gear reducer transmission device and optimized the design process of the reducer, Solidworks was used to build the three-dimensional model of the test bench and Adams was used to simulate the motion of the planetary gearbox transmission system. Keywords-Optimization Design; Test Bench; Reducer; Dynamics Analysis","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115093407","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 : 2019-11-01DOI: 10.2991/pntim-19.2019.73
Wu Di, Pan Jianqiao, Pan Bailang, Gu Guodong
Inspection work in substation is one of the normalization work of operation and maintenance in State Grid Corporation substation, and it is also one of the important means to timely discover the obvious and invisible defects of equipment, which plays an vital role in preventing accidents and ensuring the safe and stable operation of equipment. Therefore, Microsoft's HoloLens is applied to the field of equipment detection and intelligent analysis on power system intelligent inspection in this paper. Since HoloLens can be controlled through the voice, hands of inspectors can be freed. Moreover, real-time data uploading and downloading through HoloLens breaks through the obstacles for experts to effectively obtain real-time data on the spot, and the real-time data display technology of virtual video in intelligent substation as well as expert remote diagnosis functionis realized, which contributes to improving the automation level of intelligent substation inspection. Keywords-Hololens; Power Grid Intelligent Inspection; Virtual Video
{"title":"HoloLens-Based Power Grid Intelligent Inspection System","authors":"Wu Di, Pan Jianqiao, Pan Bailang, Gu Guodong","doi":"10.2991/pntim-19.2019.73","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.73","url":null,"abstract":"Inspection work in substation is one of the normalization work of operation and maintenance in State Grid Corporation substation, and it is also one of the important means to timely discover the obvious and invisible defects of equipment, which plays an vital role in preventing accidents and ensuring the safe and stable operation of equipment. Therefore, Microsoft's HoloLens is applied to the field of equipment detection and intelligent analysis on power system intelligent inspection in this paper. Since HoloLens can be controlled through the voice, hands of inspectors can be freed. Moreover, real-time data uploading and downloading through HoloLens breaks through the obstacles for experts to effectively obtain real-time data on the spot, and the real-time data display technology of virtual video in intelligent substation as well as expert remote diagnosis functionis realized, which contributes to improving the automation level of intelligent substation inspection. Keywords-Hololens; Power Grid Intelligent Inspection; Virtual Video","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115663560","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 : 2019-11-01DOI: 10.2991/pntim-19.2019.85
Yilin Shen
The structure of biomass direct fired boiler differs greatly from that of common fuel powder boiler, so the difference of operation process is great, which will inevitably lead to the difference of operation regulation law. Therefore, it is very important to analyze its technological process and combustion process in detail. All data were analyzed by SPSS17.0. We used the IBM SPSS Modeler 14.1data software to carry out modeling and prediction. The results show that there are 100 neurons in hidden layer and the area under the curve. The model accuracy, sensitivity and specific is 91.96%, 81.22% and 93.77%. Through validation data set validating, the model accuracy, sensitivity and specific is 92.15%, 80.32% and 94.01%. Therefore working process of biomass combustion boiler could accurately predict by MLP neural network model based on characteristics as the input layer variables of prediction model. Keywords-Prediction Control; Multilayer Perceptron; Neural Network;Working Process; Biomass Combustion Boiler
{"title":"Prediction Control of Biomass Combustion Boiler based on Multilayer Perceptron Neural Network","authors":"Yilin Shen","doi":"10.2991/pntim-19.2019.85","DOIUrl":"https://doi.org/10.2991/pntim-19.2019.85","url":null,"abstract":"The structure of biomass direct fired boiler differs greatly from that of common fuel powder boiler, so the difference of operation process is great, which will inevitably lead to the difference of operation regulation law. Therefore, it is very important to analyze its technological process and combustion process in detail. All data were analyzed by SPSS17.0. We used the IBM SPSS Modeler 14.1data software to carry out modeling and prediction. The results show that there are 100 neurons in hidden layer and the area under the curve. The model accuracy, sensitivity and specific is 91.96%, 81.22% and 93.77%. Through validation data set validating, the model accuracy, sensitivity and specific is 92.15%, 80.32% and 94.01%. Therefore working process of biomass combustion boiler could accurately predict by MLP neural network model based on characteristics as the input layer variables of prediction model. Keywords-Prediction Control; Multilayer Perceptron; Neural Network;Working Process; Biomass Combustion Boiler","PeriodicalId":344913,"journal":{"name":"Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115066484","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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