A Flexible Learning Algorithm for Binary Neural Networks

スポンサーリンク

概要

• 論文の詳細を見る

• This paper proposes a simple learning algorithm that can realize and boolean function using the three-layer binary neural networks. The algorithm has flexible learning functions. 1) moving "core" for the inputs separations 2) "don't care" settings of the separated inputs The "don't care" inputs do not affect the successive separations. Performing numerical simulations on some typical examples, we have verified that our algorithm can give less number of hidden layer neurons than those by conventional ones.

• 一般社団法人電子情報通信学会の論文
• 1998-09-25

著者

• Yamamoto Atsushi

  Nec Ltd.

• Saito Toshimichi

  College Of Engineering Hosei University

関連論文

• A Flexible Learning Algorithm for Binary Neural Networks
• An Algorithm for Finding All Solutions of a Hysteresis Neural Network

スポンサーリンク