A novel class of neural networks with quadratic junctions
學年 80
學期 1
發表日期 1991-10-13
作品名稱 A novel class of neural networks with quadratic junctions
作品名稱(其他語言)
著者 DeClaris, Nicholas; Su, Mu-chun
作品所屬單位 淡江大學電機工程學系
出版者 IEEE
會議名稱 Proceedings of the IEEE international conferences on systems
會議地點 Charlottesville, VA
摘要 The authors discuss the architecture and training properties of a multilayer feedforward neural network class that uses quadratic junctions in a neural architecture that uses effectively the backpropagation learning algorithm given by P.J. Werbos (1989). Both the architecture of the quadratic junctions and the backpropagation were adopted so as to endow the networks with appealing training properties (under supervision) and acceptable generalizations. Complexity and learning aspects of this class are examined and compared with traditional networks that use linear junctions.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 19911013~16
通訊作者
國別 USA
公開徵稿 Y
出版型式 紙本
出處 Proceedings of the IEEE international conferences on systems, man, and cybernetics, v.3,p.p1557 - 1562
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