Fast and Optimal Synthesis of Binary Threshold Neural Networks

スポンサーリンク

概要

• 論文の詳細を見る

• A new algorithm for synthesizing binary threshold neural networks (BTNNs) is proposed. A binary (Boolean) input-output mapping that can be represented by minimal sum-of-product (MSP) terms is initially obtained from training data. The BTNN is then synthesized based on an MSP term grouping method. As a result, a fast and optimal realization of a BTNN can be obtained. Examples of both feedforward and recurrent BTNN synthesis used in a parallel processing architecture are given and compared with other existing methods.

• 一般社団法人電子情報通信学会の論文
• 2002-07-25

著者

• Rhee Frank

  Department Of Electronic Engineering Hanyang University

関連論文

• Fast and Optimal Synthesis of Binary Threshold Neural Networks

スポンサーリンク