Stochastic Local Search for direct training of threshold networks

M. Brunato, R. Battiti
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引用次数: 4

Abstract

This paper investigates Stochastic Local Search (SLS) algorithms for training neural networks with threshold activation functions. and proposes a novel technique, called Binary Learning Machine (BLM). BLM acts by changing individual bits in the binary representation of each weight and picking improving moves.
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阈值网络直接训练的随机局部搜索
研究了随机局部搜索(SLS)算法用于训练具有阈值激活函数的神经网络。并提出了一种新的技术,称为二进制学习机(BLM)。BLM通过改变每个权值的二进制表示中的单个比特,并选择改进的移动。
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