关于多目标规划的算法，是个好东西，快来下载吧

多目标进化算法源代码-more evolutionary algorithm source code

关于机器人的手臂程序，包含最基本的移动，-Procedures on the robot arm, including the most basic mobile,

Matlab神经网络工具箱应用简介 神经网络已经在各个领域中应用，以实现各种复杂的功能。这些领域包括：模式识别、 鉴定、分类、语音、翻译和控制系统。 如今神经网络能够用来解决常规计算机和人难以解决的问题。我们主要通过这个工具箱 来建立示范的神经网络系统，并应用到工程、金融和其他实际项目中去。-Matlab neural network toolbox application profile neural network has been applied in various fields in order to achieve a variety of complex functions. These areas include: pattern recognition, identification, classification, voice, translation and control systems. Today neural networks can be used to conventional computers and people to solve difficult problems. We mainly through the toolbox to create a model of neural network systems, and applied to the engineering, financial and other practical projects.

关于演化算法的小程序.以一个二元二次方程的求极值为例.对输入参数作了简化的固定处理.较好的说明了演化算法.可直接运行.-on evolutionary algorithm small procedures. A binary quadratic equation for the extreme example. To simplify the input parameters fixed address. A good note evolutionary algorithm. Direct operation.

c语言神经网络程序包-neural network package

实现文字的识别 利用比较先进的神经网络笔者已经实验 绝对可行！-it is a good method to realize te recgniton of words.it is based on bp network,the author realized it!

knn分类模式识别可用于文本挖掘和其他的识别分类,vc代码,-Commission pattern recognition can be used for classification of text mining and other identification classification, vc code,

这个程序是一个模糊逻辑控制器，用来控制一个简单的水箱模型，比较简单，是我自己设计的，或许能够给大家一些帮助。-This process is a fuzzy logic controller, used to control a simple tank model, relatively simple, is my own design, may be able to give you some help.

这是一个非常好用的蚂蚁算法(蚁群算法)模拟程序,很好用噢,快来试试吧-This a very user-friendly ant algorithm (ant colony algorithm) simulation program, easy to use Oh, Come and try!

This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global search in the joint space of the parameters and number of parameters, thereby surmounting the problem of local minima. It allows the user to choose among various model selection criteria, including AIC, BIC and MDL