说明：  采用加权网络中节点强度和权重都是幂率分布的模型，包括主成分分析、因子分析、贝叶斯分析，包含特征值与特征向量的提取、训练样本以及最后的识别。
( Using weighted model nodes in the network strength and weight are power law distribution, Including principal component analysis, factor analysis, Bayesian analysis, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition.)