平行分布梯度下降和上升方法

International 1989 Joint Conference on Neural Networks Pub Date : 1989-12-01 DOI:10.1109/IJCNN.1989.118349

Yoshiyasu Takefuji

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引用次数: 3

摘要

仅给出摘要形式，如下。提出了一种称为熵机的并行分布式处理体系结构。该机器基于由大量神经元和相互连接组成的人工神经网络，用于解决各种np完全优化问题。EM采用并行分布梯度下降法或梯度上升法来搜索最小值或最大值。

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Parallel distributed gradient descent and ascent methods

Summary form only given, as follows. A parallel distributed processing architecture called an entropy machine (EM) is proposed. This machine, which is based on an artificial neural network composed of massive neurons and interconnections, is used for solving a variety of NP-complete optimization problems. The EM performs the parallel distributed gradient descent method or gradient ascent method to search for minima or maxima.<>

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International 1989 Joint Conference on Neural Networks

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