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最小二乘支持向量机，LS_SVM.m为主函数，normalization.m为归一化函数，release.m为反归一化函数。(Least squares support vector machine, LS_SVM.m is the main function, normalization.m is the normalization function, release.m is the normalization function.)

fuzzy system control,unstable system

径流预报常用的几种模型：AR模型，BP模型，RBF模型，GM(1,N)模型；预报数据预处理方法：自相关函数以及偏自相关函数确定法；EMD方法(Several commonly used runoff forecasting model: AR model, BP model, RBF model, GM (1, N) model forecast data preprocessing methods: autocorrelation function and partial autocorrelation function to determine the law EMD Method)

科学计算与MATLAB语言recommended，高阶matlab使用方法(Scientific Computing with MATLAB language recommended, high-end matlab use)

KPCA降维算法的实现函数，matlab的函数(KPCA dimensionality reduction algorithm to achieve the function, matlab function)

M6e 超高频读写器相关调试源代码和相应文档(M6e UHF reader related debugging source code and corresponding documentation)

Antennas algorithm describing the radiation pattern of different antennas models

RANSAC Use RANdom SAmple Consensus to fit a line

本手册的研究内容主要有Kalman滤波，扩展Kalman滤波，无迹Kalman滤波等，包括理论介绍和MATLAB源程序两部分。本手册所介绍的线性滤波器，主要是Kalman滤波和α-β滤波，交互多模型Kalman滤波，这些算法的应用领域主要有温度测量、自由落体，GPS导航、石油地震勘探、视频图像中的目标检测和跟踪(kalman and Application)

相异性分析 DISSIM分析，程序自己编的，有数据有结果(dissimilarity analysis)