竞争学习神经网络的译码功能研究

A Tentative Investigation of the Error-correcting Function of Competitive Learning Neural Network

探讨了人工神经元网络竞争学习模型的纠错译码功能,通过对人工神经元网络竞争学习规则和平衡响应原理的分析,揭示了竞争学习的平衡响应与二值线性分组码的最大似然译码之间的等价关系。

In this paper the function of error-corecting decoding of competitive learning is approached,the response,at equilibrium,of this neural network is shown to be equivalent to performing maximum likelihood decoding in a binary linear block error-correcting code on the basis of analysing the principle of competitive learning.