文件名称:Example4
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采用贝叶斯正则化算法（抑制过拟合）提高 BP 网络的推广能力，采用两种训练方法，
即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络；-Bayesian regularization algorithm (inhibition of over-fitting) to improve the generalization ability of BP network, using two training methods, that LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to train BP network
即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络；-Bayesian regularization algorithm (inhibition of over-fitting) to improve the generalization ability of BP network, using two training methods, that LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to train BP network
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Example4.m
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