{"title":"神经网络的多目标优化。","authors":"J Wang, W Lü","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>A theoretical model of multiobjective optimization neural network (MONN) and a new learning algorithm are presented. Experiment results show their effectiveness and advantage.</p>","PeriodicalId":21648,"journal":{"name":"Science in China. Series B, Chemistry, life sciences & earth sciences","volume":"38 8","pages":"971-8"},"PeriodicalIF":0.0000,"publicationDate":"1995-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiobjective optimization of neural network.\",\"authors\":\"J Wang, W Lü\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>A theoretical model of multiobjective optimization neural network (MONN) and a new learning algorithm are presented. Experiment results show their effectiveness and advantage.</p>\",\"PeriodicalId\":21648,\"journal\":{\"name\":\"Science in China. Series B, Chemistry, life sciences & earth sciences\",\"volume\":\"38 8\",\"pages\":\"971-8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science in China. Series B, Chemistry, life sciences & earth sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science in China. Series B, Chemistry, life sciences & earth sciences","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A theoretical model of multiobjective optimization neural network (MONN) and a new learning algorithm are presented. Experiment results show their effectiveness and advantage.
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