{"title":"演化模糊神经网络的性质研究","authors":"M. Watts","doi":"10.1109/ICONIP.1999.843989","DOIUrl":null,"url":null,"abstract":"The paper presents an investigation into the properties of evolving fuzzy neural networks. It is shown that for the task of isolated phoneme recognition these networks are resistant to forgetting, highly adaptive and possess good generalisation capabilities. It is also shown which training parameters are most relevant to the behaviour of the network, and what effect adjustment of these parameters will have.","PeriodicalId":237855,"journal":{"name":"ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An investigation of the properties of evolving fuzzy neural networks\",\"authors\":\"M. Watts\",\"doi\":\"10.1109/ICONIP.1999.843989\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents an investigation into the properties of evolving fuzzy neural networks. It is shown that for the task of isolated phoneme recognition these networks are resistant to forgetting, highly adaptive and possess good generalisation capabilities. It is also shown which training parameters are most relevant to the behaviour of the network, and what effect adjustment of these parameters will have.\",\"PeriodicalId\":237855,\"journal\":{\"name\":\"ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378)\",\"volume\":\"130 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICONIP.1999.843989\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONIP.1999.843989","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An investigation of the properties of evolving fuzzy neural networks
The paper presents an investigation into the properties of evolving fuzzy neural networks. It is shown that for the task of isolated phoneme recognition these networks are resistant to forgetting, highly adaptive and possess good generalisation capabilities. It is also shown which training parameters are most relevant to the behaviour of the network, and what effect adjustment of these parameters will have.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
