一种改进的反向传播算法

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94) Pub Date : 1994-06-27 DOI:10.1109/ICNN.1994.374289

B. K. Verma, J. Mulawka

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引用次数: 16

摘要

对于使用反向传播算法的多层神经网络来说，训练过程长且不确定是最重要的问题之一。本文提出了一种改进的反向传播算法，用于特定的快速训练过程。修正的基础是利用方程理论和最小二乘技术求解输出层的权矩阵。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A modified backpropagation algorithm

A long and uncertain training process is one of the most important problems for a multilayer neural network using the backpropagation algorithm. In this paper, a modified backpropagation algorithm for a certain and fast training process is presented. The modification is based on the solving of the weight matrix for the output layer using theory of equations and least squares techniques.<>

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Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)

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