中文说明：
采用动量梯度下降算法训练 BP 网络。 采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中，我们采用两种训练方法，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：
The momentum gradient descent algorithm is used to train BP network. Bayesian regularization algorithm is used to improve the generalization ability of BP network. In this case, we use two training methods, namely L-M optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to train BP network, so that it can fit a sinusoidal sample data with white noise.