{"title":"居民个性化体育人工智能系统研究","authors":"Yongjie Zhu","doi":"10.1109/ICSGEA.2019.00075","DOIUrl":null,"url":null,"abstract":"In order to improve the correct rate and generalization ability of residents' personalized behavioral modeling methods, an innovative behavior modeling method based on artificial intelligence is proposed. Firstly, the definition of modeling method based on artificial intelligence is given, and the corresponding personalized motion behavior library is constructed. Then, the resident individualized behavioral model is constructed, and the resident individualized sports logo is normalized model vector. Then the resident personality is analyzed. The reason for the misclassification of sports innovation behaviors is to eliminate the misclassification. The experimental results show that the algorithm has the advantages of simple implementation, fast processing speed and high accuracy.","PeriodicalId":201721,"journal":{"name":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Resident Personalized Sports Artificial Intelligence System\",\"authors\":\"Yongjie Zhu\",\"doi\":\"10.1109/ICSGEA.2019.00075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve the correct rate and generalization ability of residents' personalized behavioral modeling methods, an innovative behavior modeling method based on artificial intelligence is proposed. Firstly, the definition of modeling method based on artificial intelligence is given, and the corresponding personalized motion behavior library is constructed. Then, the resident individualized behavioral model is constructed, and the resident individualized sports logo is normalized model vector. Then the resident personality is analyzed. The reason for the misclassification of sports innovation behaviors is to eliminate the misclassification. The experimental results show that the algorithm has the advantages of simple implementation, fast processing speed and high accuracy.\",\"PeriodicalId\":201721,\"journal\":{\"name\":\"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSGEA.2019.00075\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGEA.2019.00075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Resident Personalized Sports Artificial Intelligence System
In order to improve the correct rate and generalization ability of residents' personalized behavioral modeling methods, an innovative behavior modeling method based on artificial intelligence is proposed. Firstly, the definition of modeling method based on artificial intelligence is given, and the corresponding personalized motion behavior library is constructed. Then, the resident individualized behavioral model is constructed, and the resident individualized sports logo is normalized model vector. Then the resident personality is analyzed. The reason for the misclassification of sports innovation behaviors is to eliminate the misclassification. The experimental results show that the algorithm has the advantages of simple implementation, fast processing speed and high accuracy.
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