{"title":"工作进展:改进径向基函数网络的性能","authors":"Alexander Strong, Timothy Gonzales, Logan Smith","doi":"10.1145/2808006.2808046","DOIUrl":null,"url":null,"abstract":"This work investigates several novel variations of the Radial Basis Function Network with a view to determining whether accuracy can be maintained or improved in large dimensional classification problems without increasing amount of training data.","PeriodicalId":431742,"journal":{"name":"Proceedings of the 16th Annual Conference on Information Technology Education","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Work in Progress: Improving the Performance of the Radial Basis Function Network\",\"authors\":\"Alexander Strong, Timothy Gonzales, Logan Smith\",\"doi\":\"10.1145/2808006.2808046\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work investigates several novel variations of the Radial Basis Function Network with a view to determining whether accuracy can be maintained or improved in large dimensional classification problems without increasing amount of training data.\",\"PeriodicalId\":431742,\"journal\":{\"name\":\"Proceedings of the 16th Annual Conference on Information Technology Education\",\"volume\":\"133 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 16th Annual Conference on Information Technology Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2808006.2808046\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th Annual Conference on Information Technology Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2808006.2808046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Work in Progress: Improving the Performance of the Radial Basis Function Network
This work investigates several novel variations of the Radial Basis Function Network with a view to determining whether accuracy can be maintained or improved in large dimensional classification problems without increasing amount of training data.
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