很好的遗传算法值得一看

RBFNN一步预测混沌序列性能程序,可以直接运行,效果不错!-RBFNN step chaotic sequence performance prediction procedures, can be directly run, good results!

本工具包主要是为对神经网络有兴趣人士提供的一种方便，灵活的学习和研究软件。 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。 支持反向传播算法(BP),LBG聚类法和径向基网络(RBF) -This toolkit is for people interested in neural networks has provided a convenient, flexible learning and research software. JNNT by the java language, cross-platform with superior performance. Java applet demo version is more simple to just any machine can run a browser, without installing any large-scale add-on software. Enthusiasts through the internet more convenient remote access to resources. To support the back-propagation algorithm (BP), LBG clustering method and radial basis function network (RBF)

BP神经网络的基本算法. 基于对话框-BP neural network algorithm. Based on the dialog box

apriori算法c语言版,apriori算法c语言版-algorithm language version algorithm algorithm c language version

利用matlab编写的神经网络算法，经过测试速度快效果好。-Prepared using matlab neural network algorithm, tested the effect of a good speed.

实现增量SVM算法，通过对因子的选择增量式的来训练SVM，大大加快了SVM算法的训练速度-To achieve incremental SVM algorithm, through the choice of factors Incremental to train SVM, greatly accelerated the speed of SVM training algorithm. .

神经网络的源程序，一个比较新的算法，分类效果较好！-neural network source, a relatively new algorithm, better classification results!

遗传算法求解TSP问题，内附有遗传算法基本原理，程序已验证-Genetic Algorithm for TSP problem, containing the basic principles of genetic algorithm has the process had been made to verify

开发环境：Visual C++ .net2003 功能介绍：神经网络算法实验；分Console版本和MFC版本；主要用来求解TSP问题。-Development Environment: Visual C++. Net2003 function introduction: neural network algorithm experiments sub-Console version and MFC version mainly used to solve the TSP problem.

电梯程序，包含了上、下、停留等功能。还有关于优先级的设置。-Elevator procedures included upper and lower, to stay and other functions. Also on the priority settings.