Wu Jianhui, Su-min Yu, Shao Hongbo, Yin Su-feng, Xue Ling, Hu Bo, Wang Guoli
{"title":"基于模糊神经网络的数据挖掘算法","authors":"Wu Jianhui, Su-min Yu, Shao Hongbo, Yin Su-feng, Xue Ling, Hu Bo, Wang Guoli","doi":"10.2174/1874444301507011930","DOIUrl":null,"url":null,"abstract":"In this paper, the fuzzy neural network is selected as the algorithm for data mining (DM), introducing the artificial neural network into the fuzzy logic by treating it as a computing tool, it is a networklized description form by using the artificial neural network as the membership function in a fuzzy system, fuzzy rules and extension principle. The fuzzy neural network (FNN) is selected as the algorithm for data mining. By combining the fuzzy theory with neural network, using the strong nonlinear processing ability of FNN, finding the classification after producing a fuzzy partition neural network training, using thresholds and extracting rules, finally, the validity of this algorithm is verified, comparing with other fuzzy neural network, the neural network is faster learning speed and smaller in size. It owns has a good application prospect.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"513 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Data Mining Algorithm Based on Fuzzy Neural Network\",\"authors\":\"Wu Jianhui, Su-min Yu, Shao Hongbo, Yin Su-feng, Xue Ling, Hu Bo, Wang Guoli\",\"doi\":\"10.2174/1874444301507011930\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the fuzzy neural network is selected as the algorithm for data mining (DM), introducing the artificial neural network into the fuzzy logic by treating it as a computing tool, it is a networklized description form by using the artificial neural network as the membership function in a fuzzy system, fuzzy rules and extension principle. The fuzzy neural network (FNN) is selected as the algorithm for data mining. By combining the fuzzy theory with neural network, using the strong nonlinear processing ability of FNN, finding the classification after producing a fuzzy partition neural network training, using thresholds and extracting rules, finally, the validity of this algorithm is verified, comparing with other fuzzy neural network, the neural network is faster learning speed and smaller in size. It owns has a good application prospect.\",\"PeriodicalId\":153592,\"journal\":{\"name\":\"The Open Automation and Control Systems Journal\",\"volume\":\"513 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Open Automation and Control Systems Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/1874444301507011930\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Open Automation and Control Systems Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1874444301507011930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data Mining Algorithm Based on Fuzzy Neural Network
In this paper, the fuzzy neural network is selected as the algorithm for data mining (DM), introducing the artificial neural network into the fuzzy logic by treating it as a computing tool, it is a networklized description form by using the artificial neural network as the membership function in a fuzzy system, fuzzy rules and extension principle. The fuzzy neural network (FNN) is selected as the algorithm for data mining. By combining the fuzzy theory with neural network, using the strong nonlinear processing ability of FNN, finding the classification after producing a fuzzy partition neural network training, using thresholds and extracting rules, finally, the validity of this algorithm is verified, comparing with other fuzzy neural network, the neural network is faster learning speed and smaller in size. It owns has a good application prospect.