GA

程序为粒子滤波器跟踪算法的演示程序，粒子滤波器算法适用于非线性非高斯情况下的跟踪估计。本程序为pf专家程序，演示pf跟踪的核心思想，与大家共享。(procedures for tracking particle filter algorithm Demonstration Program, particle filter algorithm applicable to the non-linear Gaussian case tracking estimates. The procedures for pf experts procedures, presentations pf tracking core ideas and share.)

该压缩文件为污水处理系统的建模、诊断和控制的全部程序和说明，非常实用。(The compressed file sewage treatment system modeling, diagnosis and control of all procedures and instructions, very practical.)

以定子电压和电流为输入，用最小二乘法对异步电机进行参数辨识，包括定子电阻，转子电阻，定子电感，定转子互感。(With the stator voltage and current as the input, the parameters of the induction motor are identified by the least square method, including stator resistance, rotor resistance, stator inductance, stator and rotor mutual inductance.)

求解线性规划问题，简单的求解以及多远线性规划的求解，(To solve the linear programming problem solving and simple, how far solution of linear planning )

本代码包括Music算法以及Root-music算法的仿真实现，对初学者大有裨益(The code includes Music algorithms and simulation Root-music algorithm of great benefit for beginners)

国际上机器学习方面的教材，得到国际上的公认 (Aspects of machine learning materials, get international recognition)

MATLAB算法大全，线性规划、非线性规划、方差分析、层次分析法、现代优化算法(MATLAB algorithms Guinness, linear programming, nonlinear programming, variance analysis, analytic hierarchy process, modern optimization algorithms)

本人所传是周期图代码,希望能够对大家能有所帮助.(my map-cycle is code, we hope to be able to help.)

Description We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of: - linear regression model - nonlinear regression model - fitting data in 3D space - identification of dynamical system This toolbox requires another two functions, which are already published in Matlab Central File Exchange. Those functions will be installed to computer via supporting install package requireFEXpackage included in TLS package. For more details see ReadMe.txt file. Authors: Ivo Petras, Dagmar Bednarova, Tomas Skovranek, and Igor Podlubny (Technical University of Kosice, Slovakia) Detailed description of the functions, examples and demos can be found at the link: Ivo Petras and Dagmar Bednarova: Total Least Squares Approach to Modeling: A Matlab Toolbox, Acta Montanistica Slovaca, vol. 15, no. 2, 2010, pp. 158-170.

基于LMS算法的无线信道自适应均衡器,相当有用，如假包换()