是学习PCA特征提取的很好的学习资料，关于神经网络控制，从先验概率中采样，计算权重，独立成分分析算法降低原始数据噪声，均值便宜跟踪的示例，外文资料里面的源代码，到达过程是的泊松过程，采用热核构造权重。- Is a good learning materials to learn PCA feature extraction, On neural network control, Sampling　a priori probability, calculate the weight, Independent component analysis algorithm reduces the raw data noise, Example tracking mean cheap, Foreign materials inside the source code, Arrival process is a Poisson process, Thermonuclear using weighting factor.