Pub Date : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9182487
Yanrong Zhang, Lingyue Meng, Yan Liu, Jiayuan Sun
In recent years, breast cancer, as one of the most threatening tumors for women's health in China, affects women's health with a growth rate of 2% every year. The Lasso algorithm was used to screen the characteristics of breast cancer data, and then the BP neural network was used to classify the 9 breast cancer data determination factors in the UCI dataset and the remaining 8 determination factors after screening. The experimental results showed that: In the detection of breast cancer based on BP neural network, the remaining 8 breast cancer data features are used to classify benign and malignant tumors, and the classification accuracy rate is higher than that of the original 9 breast cancer data features.
{"title":"Study on Breast Tumor Detection Based on Lasso-BP Neural Network","authors":"Yanrong Zhang, Lingyue Meng, Yan Liu, Jiayuan Sun","doi":"10.1109/ICAICA50127.2020.9182487","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182487","url":null,"abstract":"In recent years, breast cancer, as one of the most threatening tumors for women's health in China, affects women's health with a growth rate of 2% every year. The Lasso algorithm was used to screen the characteristics of breast cancer data, and then the BP neural network was used to classify the 9 breast cancer data determination factors in the UCI dataset and the remaining 8 determination factors after screening. The experimental results showed that: In the detection of breast cancer based on BP neural network, the remaining 8 breast cancer data features are used to classify benign and malignant tumors, and the classification accuracy rate is higher than that of the original 9 breast cancer data features.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132487224","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9181948
Shuaili Wang, Xuejun Yu
Due to its decentralized feature, blockchain system makes it difficult to connect blockchain with the Internet, which makes the application environment of blockchain limited, especially when the smart contract requires external data trigger. Among the existing solutions, many of them do not consider the security and credibility of the Blockchain upload data. This is contrary to the original intention of the blockchain system. To solve this problem, this paper proposes a trusted data recognition scheme based on machine learning model. This makes the data on the chain more secure and reliable.
{"title":"Research on Trusted Identification of Blockchain Uploaded Data","authors":"Shuaili Wang, Xuejun Yu","doi":"10.1109/ICAICA50127.2020.9181948","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9181948","url":null,"abstract":"Due to its decentralized feature, blockchain system makes it difficult to connect blockchain with the Internet, which makes the application environment of blockchain limited, especially when the smart contract requires external data trigger. Among the existing solutions, many of them do not consider the security and credibility of the Blockchain upload data. This is contrary to the original intention of the blockchain system. To solve this problem, this paper proposes a trusted data recognition scheme based on machine learning model. This makes the data on the chain more secure and reliable.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"31 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132870970","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9182693
Qingqing Deng, Zhaohua Long
Frame rate up up-conversion(FRUC), as a video post-processing technology, is of great help in improving video quality. The widely used frame rate improvement technology is based on the motion-compensated frame interpolation (MCFI). Although this method significantly improves video jitter and blur, there will still be problems such as block effects and holes. The paper proposes an improved U-Net frame rate improvement method that combines the U-Net and the Residual Neural Network (ResNet). The ResNet structure can effectively solve the problems of information loss, gradient disappearance and explosion during transmission. Combining these two networks and predicting the interpolation frames of the video sequences, such interpolation frames are closer to the original frames, and the predicted interpolation frames are better and effectively avoid problems such as block effects and holes. Experiments show that the algorithm in this paper is superior to other FRUC algorithms in the PSNR value of the interpolated frame.
{"title":"Research on FRUC Algorithm Based on Improved U-Net","authors":"Qingqing Deng, Zhaohua Long","doi":"10.1109/ICAICA50127.2020.9182693","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182693","url":null,"abstract":"Frame rate up up-conversion(FRUC), as a video post-processing technology, is of great help in improving video quality. The widely used frame rate improvement technology is based on the motion-compensated frame interpolation (MCFI). Although this method significantly improves video jitter and blur, there will still be problems such as block effects and holes. The paper proposes an improved U-Net frame rate improvement method that combines the U-Net and the Residual Neural Network (ResNet). The ResNet structure can effectively solve the problems of information loss, gradient disappearance and explosion during transmission. Combining these two networks and predicting the interpolation frames of the video sequences, such interpolation frames are closer to the original frames, and the predicted interpolation frames are better and effectively avoid problems such as block effects and holes. Experiments show that the algorithm in this paper is superior to other FRUC algorithms in the PSNR value of the interpolated frame.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132172716","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9182404
Yin Pei, L. Yian
Aiming at the problem that the traditional gray correlation model evaluation method has a single weight and the correlation degree is only related to distance, based on the existing improved methods, an evaluation method based on combined weighting-improved gray correlation is proposed. In order to increase the accuracy and credibility of the gray correlation, the proposed algorithm combines the improved methods of previous studies to dynamically determine the resolution coefficient, uses the improved entropy weight method and the coefficient of variation method to objectively weight the combination, combines traditional gray correlation analysis and cosine. Sorting method, comprehensively using multiple improvement methods to improve the gray correlation method. A case study of the correlation analysis of Wuxi's GDP and industry structure confirms that improving the model is feasible and effective.
{"title":"Cosine-grey Correlation Analysis Model Based on Combination Weighting and Its Application","authors":"Yin Pei, L. Yian","doi":"10.1109/ICAICA50127.2020.9182404","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182404","url":null,"abstract":"Aiming at the problem that the traditional gray correlation model evaluation method has a single weight and the correlation degree is only related to distance, based on the existing improved methods, an evaluation method based on combined weighting-improved gray correlation is proposed. In order to increase the accuracy and credibility of the gray correlation, the proposed algorithm combines the improved methods of previous studies to dynamically determine the resolution coefficient, uses the improved entropy weight method and the coefficient of variation method to objectively weight the combination, combines traditional gray correlation analysis and cosine. Sorting method, comprehensively using multiple improvement methods to improve the gray correlation method. A case study of the correlation analysis of Wuxi's GDP and industry structure confirms that improving the model is feasible and effective.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128789065","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9182503
Senxin Guo, Jialin Li, Zihan Ning
Understanding the derivation process from Fourier's number to Fourier transformation is an important part in the study of Fourier transformation. This paper uses the graphical representation method of mathematics subject knowledge, clarifies the connection between the knowledge points in the process of Fourier's transformation, chooses the appropriate kind of illustration, and represents the derivation process of the Fourier series by illustration, and achieves the effect of image specific and reduces the difficulty of understanding in learning.
{"title":"Graphical Representation of Fourier Series from Fourier Transformation","authors":"Senxin Guo, Jialin Li, Zihan Ning","doi":"10.1109/ICAICA50127.2020.9182503","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182503","url":null,"abstract":"Understanding the derivation process from Fourier's number to Fourier transformation is an important part in the study of Fourier transformation. This paper uses the graphical representation method of mathematics subject knowledge, clarifies the connection between the knowledge points in the process of Fourier's transformation, chooses the appropriate kind of illustration, and represents the derivation process of the Fourier series by illustration, and achieves the effect of image specific and reduces the difficulty of understanding in learning.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126694080","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9182667
Chenchen Duan, Qingjie Wei
Process mining improves and provides insights for business processes, which are information related to process execution. In general, process mining can be separated into three classes: process discovery, conformance checking and process enhancement. In order to simplify the process model, we make an assumption that both events in the log and tasks in the model have an injective relation in process mining, i.e., do not allow two tasks to share the same label (thus duplicates task). In addition, Duplicate tasks have some issues concerning the quality of process model discovered and the potential indeterminism in conformance checking. In this paper, we perform a systematic literature review of process discovery and conformance checking metrics for duplicate tasks. This review can: (1) provide a comprehensive review of the current work of duplicate tasks in process discovery and conformance checking; (2) help researchers choose proper process mining approach, tools, and metrics; (3) identify research opportunities in duplicate tasks.
{"title":"Process Mining of Duplicate Tasks: A Systematic Literature Review","authors":"Chenchen Duan, Qingjie Wei","doi":"10.1109/ICAICA50127.2020.9182667","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182667","url":null,"abstract":"Process mining improves and provides insights for business processes, which are information related to process execution. In general, process mining can be separated into three classes: process discovery, conformance checking and process enhancement. In order to simplify the process model, we make an assumption that both events in the log and tasks in the model have an injective relation in process mining, i.e., do not allow two tasks to share the same label (thus duplicates task). In addition, Duplicate tasks have some issues concerning the quality of process model discovered and the potential indeterminism in conformance checking. In this paper, we perform a systematic literature review of process discovery and conformance checking metrics for duplicate tasks. This review can: (1) provide a comprehensive review of the current work of duplicate tasks in process discovery and conformance checking; (2) help researchers choose proper process mining approach, tools, and metrics; (3) identify research opportunities in duplicate tasks.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126277975","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9182471
Wenjie Zhang, Ruzhou Ye, Fangyan Dong
Aiming at the problem of parking difficulty, this paper mainly puts forward a new design scheme of three - dimensional garage without avoidance. On the basis of the existing no-avoidance stereo garage in the market, the advantages and disadvantages are analyzed, and the overall structure is improved and optimized. This design has higher universality, stability and economy.
{"title":"Study of a new type of movable non-avoidance stereo parking device","authors":"Wenjie Zhang, Ruzhou Ye, Fangyan Dong","doi":"10.1109/ICAICA50127.2020.9182471","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182471","url":null,"abstract":"Aiming at the problem of parking difficulty, this paper mainly puts forward a new design scheme of three - dimensional garage without avoidance. On the basis of the existing no-avoidance stereo garage in the market, the advantages and disadvantages are analyzed, and the overall structure is improved and optimized. This design has higher universality, stability and economy.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122262226","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9182485
Wei Xiao, Chuan Xu, Hongling Liu, Xiaobo Liu
This paper aims at investigating whether volatility spillover effects exist among sub-segments in heavy truck trucking market of Southwest China based on trading data from online freight exchange (OFEX) platform, in which the sub-segments are classified by truck length, roughly as short bed sub-segment and long bed sub-segment. Model conditional correlations were modeled via the Multivariate Generalized Autoregressive Conditional Heteroskedasticity (MGARCH) model in the paper, followed by the analysis of volatility spillovers between sub-segments. Firstly, a Student's t distribution based BEKK (Baba, Engle, Kraft and Kroner) model is applied to analyzing the persistence effect as well as the volatility spillovers between sub-segments. Secondly, the change of interdependence degree between abovementioned markers is evaluated via the constant and dynamic conditional correlation models. We observed the constant long-term cross-volatility within the short bed sub-segment while multiple dynamic one-way volatility transmissions are observed, from the long bed sub-segment to the short bed sub-segment. In addition, an indication weight based on estimations of dynamic conditional correlation model is proposed to help marketing researchers to determine the weights of indices components when constructing trucking index in the future.
本文基于在线货运交易平台(OFEX)的交易数据，研究西南重卡货运市场各细分市场之间是否存在波动溢出效应，其中细分市场按货车长度划分，大致分为短床细分市场和长床细分市场。本文采用多元广义自回归条件异方差(MGARCH)模型对模型条件相关性进行建模，并分析各细分市场之间的波动溢出效应。首先，采用基于Student's t分布的BEKK (Baba, Engle, Kraft and Kroner)模型分析了子细分市场之间的持续效应和波动溢出效应。其次，通过恒条件相关模型和动态条件相关模型评价上述指标之间相互依赖程度的变化。我们观察到短床段的长期交叉波动恒定，而从长床段到短床段的多次动态单向波动传递则被观察到。此外，本文还提出了一种基于动态条件相关模型估计的指标权重，以帮助市场研究人员在未来构建货运指标时确定指标成分的权重。
{"title":"Volatility Transmission in Chinese Trucking Markets: An Application Using BEKK, CCC and DCC-MGARCH Models","authors":"Wei Xiao, Chuan Xu, Hongling Liu, Xiaobo Liu","doi":"10.1109/ICAICA50127.2020.9182485","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182485","url":null,"abstract":"This paper aims at investigating whether volatility spillover effects exist among sub-segments in heavy truck trucking market of Southwest China based on trading data from online freight exchange (OFEX) platform, in which the sub-segments are classified by truck length, roughly as short bed sub-segment and long bed sub-segment. Model conditional correlations were modeled via the Multivariate Generalized Autoregressive Conditional Heteroskedasticity (MGARCH) model in the paper, followed by the analysis of volatility spillovers between sub-segments. Firstly, a Student's t distribution based BEKK (Baba, Engle, Kraft and Kroner) model is applied to analyzing the persistence effect as well as the volatility spillovers between sub-segments. Secondly, the change of interdependence degree between abovementioned markers is evaluated via the constant and dynamic conditional correlation models. We observed the constant long-term cross-volatility within the short bed sub-segment while multiple dynamic one-way volatility transmissions are observed, from the long bed sub-segment to the short bed sub-segment. In addition, an indication weight based on estimations of dynamic conditional correlation model is proposed to help marketing researchers to determine the weights of indices components when constructing trucking index in the future.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125707650","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9181879
Ge Liang, Zhang Wei, An Shi
The timing system is an important part of the heavy-ion synchrotron. It controls the startup time of the power supply, radiofrequency and other equipment to synchronously accelerate the charged ion beam. The heavy-ion accelerator has high requirements for its timing accuracy, reliability, and stability. The design uses a new type of synchronization technology and a tree topology to increase the synchronization accuracy of the nodes to sub-nanoseconds. At the same time, it is easy to expand the number of nodes to thousands and extend the deployment range to several kilometers. TDC (Time-to-Digital Converter) is designed using a multi-phase clock interpolation method to improve the time resolution to 500ps. It reduces the failure rate of data transmission by marking the QoS level of the CM (Control Message) and adopting network protocols and algorithms. An open-source platform is used to monitor and log the entire system, providing a reliable source of data for equipment operation and fault diagnosis. Finally, through system testing and data analysis, the system and design unit meet the design requirements and highlight its overall performance.
定时系统是重离子同步加速器的重要组成部分。控制电源、射频等设备的启动时间，同步加速带电离子束。重离子加速器对定时精度、可靠性和稳定性都有很高的要求。该设计采用了一种新型的同步技术和树形拓扑结构，将节点的同步精度提高到亚纳秒级。同时，很容易将节点数量扩展到数千个，将部署范围扩展到几公里。TDC (time -to- digital Converter)采用多相时钟插值方法设计，将时间分辨率提高到500ps。它通过对CM (Control Message)的QoS级别进行标记，并采用网络协议和算法来降低数据传输的失败率。采用开源平台对整个系统进行监控和日志记录，为设备运行和故障诊断提供可靠的数据来源。最后，通过系统测试和数据分析，系统和设计单元均满足设计要求，整体性能突出。
{"title":"Timing System for the Heavy-Ion Accelerator Facility","authors":"Ge Liang, Zhang Wei, An Shi","doi":"10.1109/ICAICA50127.2020.9181879","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9181879","url":null,"abstract":"The timing system is an important part of the heavy-ion synchrotron. It controls the startup time of the power supply, radiofrequency and other equipment to synchronously accelerate the charged ion beam. The heavy-ion accelerator has high requirements for its timing accuracy, reliability, and stability. The design uses a new type of synchronization technology and a tree topology to increase the synchronization accuracy of the nodes to sub-nanoseconds. At the same time, it is easy to expand the number of nodes to thousands and extend the deployment range to several kilometers. TDC (Time-to-Digital Converter) is designed using a multi-phase clock interpolation method to improve the time resolution to 500ps. It reduces the failure rate of data transmission by marking the QoS level of the CM (Control Message) and adopting network protocols and algorithms. An open-source platform is used to monitor and log the entire system, providing a reliable source of data for equipment operation and fault diagnosis. Finally, through system testing and data analysis, the system and design unit meet the design requirements and highlight its overall performance.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121128349","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 : 2020-06-01DOI: 10.1109/ICAICA50127.2020.9182682
Qiqi Zhang
This paper researches the problem of slab stacking, builds up a mathematical model with an objective of maximize the slab comprehensive matching degree, the stack utilization degree and the inventory balance degree jointly based on stack height limits constraints, slab delivery time constraints and stack dispersion constraints, etc. The PSO algorithm is applied and improved by evolution state assessment strategy in order to help the solution to jump out of the local optimal. The validity of the proposed solving algorithm is demonstrated by numerical simulation experiment from the production data in iron-steel enterprise.
{"title":"The application of improved particle swarm optimization in slab stacking problem","authors":"Qiqi Zhang","doi":"10.1109/ICAICA50127.2020.9182682","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182682","url":null,"abstract":"This paper researches the problem of slab stacking, builds up a mathematical model with an objective of maximize the slab comprehensive matching degree, the stack utilization degree and the inventory balance degree jointly based on stack height limits constraints, slab delivery time constraints and stack dispersion constraints, etc. The PSO algorithm is applied and improved by evolution state assessment strategy in order to help the solution to jump out of the local optimal. The validity of the proposed solving algorithm is demonstrated by numerical simulation experiment from the production data in iron-steel enterprise.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116260409","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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