中文说明：
采用贝叶斯正则化算法提高BP网络的推广能力。在本例中，将采用两种训练方法，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，使其能够拟合某一附加有白噪声的正弦样本数据。
English Description：
Bayesian regularization algorithm is used to improve the generalization ability of BP network. In this case, two training methods, i.e. L-M optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), are used to train BP network to fit a sinusoidal sample data with white noise.