阈值网络直接训练的随机局部搜索

2015 International Joint Conference on Neural Networks (IJCNN) Pub Date : 2015-07-12 DOI:10.1109/IJCNN.2015.7280770

M. Brunato, R. Battiti

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引用次数: 4

摘要

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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Stochastic Local Search for direct training of threshold networks

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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2015 International Joint Conference on Neural Networks (IJCNN)

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