非常简单的一个神经网络小程序 自己写的 还用了遗传算法进行优化...

神经网络理论与Matlab7电子工业出版社原代码-neural network theory and Matlab7 Electronic Industry Publishing House source

用matlab仿真的递推极大似然法辨识程序，可用来进行系统辨识，很好用-simulation using Matlab Recursive maximum likelihood method identification procedures, which can be used for system identification, good use

因为递归程序运行的效率一般都比较低,本程序用java语言来实现TSP递归程序的优化-because recursive program run average efficiency are low, the procedure used java language to achieve TSP recursive process optimization

一个经典的C语言遗传算法程序包，可直接用来开发遗传算法的应用程序-a classic genetic algorithm C language package can be used directly for the development of the genetic algorithm application

数据挖掘算法 chameleon算法源代码- Data mining algorithm chameleon calculates the law origin code

用java编写的bp网络和rbf网络的源程序 JNNT由java语言写成，具有跨平台的优越性能.java applet的演示版更简单到只需要任何机器上的浏览器就可以运行，无需安装任何大型附加软件。更方便爱好者通过internet远程访问资源。 -with java bp prepared by the network and the networks of the source rbf JNNT by java language, cross-platform advantages can be. java applet demo version of a more simple to just any machine on the View All can be run without having to install any additional software major. Lovers more convenient remote access through the internet resources.

本程序是基本的MATLB退火模拟算法，主要应用于函数优化，效果较好。-This procedure is a basic MATLB simulated annealing algorithm, mainly used in function optimization, better.

改程序实现UB算法，对Web日志文件进行分析，产生相似度矩阵-reform program UB algorithm, the Web log file analysis, the similarity matrix produced

将遗传算法(GA)与传统SVM算法结合,构造出一种参数最优的进化SVM(GA2SVM),SVM 模型采用径向基函数(RBF)作为核函数，利用格雷码编码方式对SVM算法的模型参数进行遗传编码和优化搜索，将搜索到的优化结果作为SVM 的最终模型参数。-Genetic algorithm (GA) combined with the traditional SVM algorithm, a kind of tectonic evolution of the optimal parameters of SVM (GA2SVM), SVM model using Radial Basis Function (RBF) as kernel function, the use of Gray code encoding algorithm of the SVM model parameters of genetic coding and optimization of search, will search for the optimal results as the final SVM model parameters.

这个程序是A*算法的简单实现，来解决八数码问题-It just simply applys the A* algorithm to solve the Eghit-puzzle problem