包含FuzzyKMeans, FuzzyGK, FuzzyR等算法，拓展了weka（本站可以下载）...

这是我写毕业论文的源程序,用模拟退火算法求解VRPTW问题.在我机子上运行过了,结果很好.-This is the thesis I wrote the source code, using simulated annealing algorithm to solve VRPTW problems. In my machine run-off, resulting in very good.

ART2自组织神经网络vc++源程序，调试通过，可以使用。-ART2 self-organizing neural network vc++ Source code, debugging through, you can use.

多层神经网络的可执行例子 http://www.codeproject.com/cpp/MLP.asp?df=100&forumid=148477&exp=0&select=1141594#xx1141594-multilayer neural network executable examples http :// www.codeproject.com/cpp/MLP.asp df = 1

adaptive resonance theory 2 人工神经网络-two adaptive resonance theory of artificial neural networks

针对TSP问题，用类神经网路的方法去求解！-against TSP, and the neural network approach to solving!

一种智能语言，适合用来做专家系统 an artificial intelligence language named clips, it is useful in ES engineer-An intelligent language, suitable for expert system used an artificial intelligence language named clips, it is useful in ES engineer

模拟退火模型算法，使用C语言实现的，简单有效-Simulated annealing algorithm, the use of C language to achieve, simple and effective

本多功能自控系统软实验平台包括经典控制理论、现代控制理论、系统辨识、最优控制、智能控制等的软实验内容，其功能接近和部分超过了Matlab的自动控制工具箱，其人性化的中文界面，让使用者能轻松完成各种控制系统实验，是学习控制理论、设计控制系统的有力工具。-the multifunction control system experimental platform including soft classical control theory, the modern control theory, system identification, optimal control, intelligent control of the soft experiments, its function and some close over the Matlab toolbox control, the human interface to help users easily End into a variety of experimental control system, control theory is the study and design of the control system powerful tool.

这是我自己花了很多时间写的一个BP神经网络类，里面封装了网络初始化、训练、分类等功能。奉献出来与感兴趣的朋友分享，绝对可靠。-that I spent a lot of time writing in a category BP neural network inside the network initialization package, training, classification capabilities. Dedication out with friends interested in sharing, absolutely reliable.

这是一个parzen窗口分类算法，希望能给大家的学习有所帮助-This is a Parzen window classification algorithm, we hope that they will be helpful to the learning