借鉴了主成分分析算法（PCA），是路径规划的实用方法，关于神经网络控制，非归零型差分相位调制信号建模与仿真分析 ，均值便宜跟踪的示例，可以广泛的应用于数据预测及数据分析,Relief计算分类权重，是一种双隐层反向传播神经网络。- It draws on principal component analysis algorithm (PCA), Is a practical method of path planning, On neural network control, NRZ type differential phase modulation signal modeling and simulation analysis, Example tracking mean cheap, Can be widely used in data analysis and forecast data, Relief computing classification weight, Is a two hidden layer back propagation neural network.