应用小区域方差对比，程序简单，包括最小二乘法、SVM、神经网络、1_k近邻法,包含了阵列信号处理的常见算法，可以广泛的应用于数据预测及数据分析,基于分段非线性权重值的Pso算法，通过反复训练模板能有较高的识别率。- Application of small area variance comparison, simple procedures, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Contains a common array signal processing algorithm, Can be widely used in data analysis and forecast data, Based on piecewise nonlinear weight value Pso algorithm, Through repeated training SDAoJNglate have higher recognition rate.