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題名 The Layered Feed-Forward Neural Networks and Its Rule Extraction
作者 Tsaih, Ray;Lin, Chih-Chung
貢獻者 資管系
日期 2004
上傳時間 12-Feb-2015 12:23:52 (UTC+8)
摘要 A mathematical study of the layered feed-forward neural networks is proposed here for identifying the rules suggested in the network. The mathematical study, not a data analysis, is proposed for identifying the premise association with each rule. It, hopefully, can be used further to deal with the predicament of ANN being a black box.
關聯 Advances in Neural Networks – ISNN 2004 Lecture Notes in Computer Science,3173,377-382
資料類型 article
dc.contributor 資管系
dc.creator (作者) Tsaih, Ray;Lin, Chih-Chung
dc.date (日期) 2004
dc.date.accessioned 12-Feb-2015 12:23:52 (UTC+8)-
dc.date.available 12-Feb-2015 12:23:52 (UTC+8)-
dc.date.issued (上傳時間) 12-Feb-2015 12:23:52 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/73493-
dc.description.abstract (摘要) A mathematical study of the layered feed-forward neural networks is proposed here for identifying the rules suggested in the network. The mathematical study, not a data analysis, is proposed for identifying the premise association with each rule. It, hopefully, can be used further to deal with the predicament of ANN being a black box.
dc.format.extent 181846 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Advances in Neural Networks – ISNN 2004 Lecture Notes in Computer Science,3173,377-382
dc.title (題名) The Layered Feed-Forward Neural Networks and Its Rule Extraction
dc.type (資料類型) articleen