基于RBF的PID控制matlab程序，望大家参考，共同学习。

数据挖掘各类代码:Apriori源代码全部-Various types of data mining code: Apriori all source code

这是一个指纹识别的源代码,指纹识别是比较成熟的模式识别!`-This is a fingerprint identification of the source code, fingerprint identification is a relatively mature pattern recognition! `

用局部最优探索算法求解tsp问题。。。matlab编写。附有城市坐标用于检验。 -Using local optimization algorithm to explore the issue tsp. . . matlab prepared. Coordinate with the city for inspection.

神经网络模式识别及其实现，第八章。 内含：KMEANS 、KOHONEN 、LVQ 、SOFM 算法。-pattern recognition and neural network to achieve, Chapter VIII. Intron : KMEANS, KOHONEN, LVQ, SOFM algorithm.

本文在VC++环境下用演化算法实现了非线性参数回归，实验结果表明，用此方法能够很好的实现非线性参数回归。-paper in VC environment using an evolutionary algorithm to achieve the nonlinear regression, experimental results indicate that this method can achieve good nonlinear regression.

模拟退火和遗传算法混和求解车辆路径问题的程序，没有解压密码。-simulated annealing and genetic algorithms hybrid vehicle routing problem solving process, not extracting passwords.

c 神经网络遗传算法-c neural network genetic algorithm

介绍了遗传算法的基本原理和求解流程, 详细阐述了Matlab 遗传算法工具箱的使用方法, 并通过使用遗传算法工具箱对一个典型的函数优化问题进行求解, 验证了该工具箱在解决函数优化问题上的有效性和实用性。-Introduce a genetic algorithm to solve the basic principle and flow in detail Matlab genetic algorithm toolbox to use, and by using genetic algorithm toolbox for a typical function optimization problems to solve, the validity of the toolbox in solving function optimization problems on the effectiveness and practicality.

Mitchell的《机器学习〉随书源码，非常不错-Mitchell"s "machine learning> With the source book, very good

This a GA implementation using binary and real coded variables. Mixed variables can be used. Constraints can also be handled. All constraints must be greater-than-equal-to type (g >= 0) and normalized (see the sample problem in prob1 in objective()).-This a GA implementation using binary and real coded variables. Mixed variables can be used. Constraints can also be handled. All constraints must be greater-than-equal-to type (g gt;= 0) and normalized (see the sample problem in prob1 in objective()).