{"title":"基于神经网络和聚合关联规则的物理因素数据挖掘模型","authors":"Qi-yu Jiang, Xiao-sheng Sun","doi":"10.1109/ITIME.2011.6132030","DOIUrl":null,"url":null,"abstract":"The individual body formed by the many body effects of factors, there has been complex nonlinear relationship between them. This paper applies the neural network to train simulation between impact factor and individual constitution of the relationship, influence factor and physical fitness between “super quantization” relationship, this paper proposes a new algorithm of association rules data mining polymerization, to construct the corresponding physical model.","PeriodicalId":170838,"journal":{"name":"2011 IEEE International Symposium on IT in Medicine and Education","volume":"9 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The data mining model of physical factors based on neural network and polymerization of association rules\",\"authors\":\"Qi-yu Jiang, Xiao-sheng Sun\",\"doi\":\"10.1109/ITIME.2011.6132030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The individual body formed by the many body effects of factors, there has been complex nonlinear relationship between them. This paper applies the neural network to train simulation between impact factor and individual constitution of the relationship, influence factor and physical fitness between “super quantization” relationship, this paper proposes a new algorithm of association rules data mining polymerization, to construct the corresponding physical model.\",\"PeriodicalId\":170838,\"journal\":{\"name\":\"2011 IEEE International Symposium on IT in Medicine and Education\",\"volume\":\"9 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Symposium on IT in Medicine and Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITIME.2011.6132030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Symposium on IT in Medicine and Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITIME.2011.6132030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The data mining model of physical factors based on neural network and polymerization of association rules
The individual body formed by the many body effects of factors, there has been complex nonlinear relationship between them. This paper applies the neural network to train simulation between impact factor and individual constitution of the relationship, influence factor and physical fitness between “super quantization” relationship, this paper proposes a new algorithm of association rules data mining polymerization, to construct the corresponding physical model.