{"title":"神经网络——十二种学习算法","authors":"C. Vassiliadis","doi":"10.1109/SSST.1990.138188","DOIUrl":null,"url":null,"abstract":"A review of the 12 major learning algorithms is presented, and an extensive set of references is provided. The models are represented in chronological order from the Perceptron (1957) to the Functional Link Net (1988).<<ETX>>","PeriodicalId":201543,"journal":{"name":"[1990] Proceedings. The Twenty-Second Southeastern Symposium on System Theory","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Neural networks-twelve learning algorithms\",\"authors\":\"C. Vassiliadis\",\"doi\":\"10.1109/SSST.1990.138188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A review of the 12 major learning algorithms is presented, and an extensive set of references is provided. The models are represented in chronological order from the Perceptron (1957) to the Functional Link Net (1988).<<ETX>>\",\"PeriodicalId\":201543,\"journal\":{\"name\":\"[1990] Proceedings. The Twenty-Second Southeastern Symposium on System Theory\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1990] Proceedings. The Twenty-Second Southeastern Symposium on System Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSST.1990.138188\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1990] Proceedings. The Twenty-Second Southeastern Symposium on System Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.1990.138188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A review of the 12 major learning algorithms is presented, and an extensive set of references is provided. The models are represented in chronological order from the Perceptron (1957) to the Functional Link Net (1988).<>
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