Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/73493
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
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
Appears in Collections:期刊論文

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