摘要
构造了用于最小加权距离译码的神经网络.并证明了所构造的神经网络的收敛性.最后给出了用所构造的神经网络进行最小加权距离译码的算法.
A neural network model for minimum weighted distance decoding of linear and nonlinear code is constructed. and it can be proved convergent. The neural network algorithm for minimum weighted distance decoding is presented.
关键词
纠错码
译码
神经网络
最小加权距离
error-correcting codes
decoding
neural network
minimum weighted distance