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Handbook of Practical MATLAB® for Engineers Practical MATLAB® Basics for Engineers Practical MATLAB® Applications for Engineers

Machine Learning, Neural and Statistical Classification Editors: D. Michie, D.J. Spiegelhalter, C.C. Taylor February 17, 1994

说明：  matlab输入账号和密码进行登陆，使用guide进行设计，包含fig文件和m文件(matlab log in)

用MATLAB实现自适应神经模糊推理系统（ANFIS）结构训练。代码中，首先创建一个初始原ANFIS结构，然后采用遗传算法（GA）、粒子群优化（PSO）来训练ANFIS。此进化训练算法可用于解决非线性回归函数逼近问题。(Implementation of adaptive neural fuzzy inference system (ANFIS) based on MATLAB. Code, the first to create an initial original ANFIS structure, and then using the genetic algorithm (GA), particle swarm optimization (PSO) to train ANFIS. This evolutionary training algorithm can be used to solve the nonlinear regression function approximation problem.)

说明：  MATLAB编写的灰色预测模型源代码 可以根据自己的实际进行修改 (Gray prediction model written in MATLAB source code can be modified according to their actual)

TD-LTE PMCH MATLAB source code

lte code fore simulation with matlab

用MATLAB中SDE框架实现各维度的随机步走(In this demo we use the SDE framework in the Econometrics Toolbox to implement various random walks. )

用matlab编写的家庭安全监控系统,运用无线网络摄像头，同软件实时监控家庭实际情况。(Home Security System write by matlab.)

线性规划的程序，能够解决显性规划问题，应用于实际中(Linear programming the main program, to solve the issue of explicit planning)