人工智能人工神经网络源码，很不错的！！可以学习

《神经网络模式识别及其实现》源程序-"pattern recognition and neural network to achieve" source

一个高人的VC实现NN的程序。很不错。先运行Matrixbase.dsw,again arithmetic.dsw, next nnbp.dsw,final neuralNetWork.dsw.-an expert in VC NN procedures. Very good. First running Matrixbase.dsw, again arithmetic.dsw. next nnbp.dsw, final neuralNetWork.dsw.

一个简单遗传算法，用一个测试问题测试,到到得结果比较好-This is a simple genetic algorithm and the algorithm is tested by a test problem, and the result is not bad

基于图像处理的相机自动调焦系统，开发环境：VC。~..~-based on image processing camera auto-focusing system, development environment : VC. ~ ~ ..

该算法为基于控制规则表的模糊PID控制 用MATlab开发，能够管直接运行-The algorithm for the control rules based on fuzzy PID control table with Matlab development, to pipe directly run

这是一个聚类代码，里面有分类数据，有MAKEFILE，可以实现模式的分类中-This is a clustering source code which contains classfication data and MAKEFILE.It can be used in classifying pattens.

提出了基于最小化估计的泛化误差界非优化估计方法。目前大多数的核参数选择方法都是通过极小化了来得到最优参数值，但是求解优化问题的计算代价相当的大，并且不能很好地体现数据的分布特征。本文采用非优化技术，通过极小化泛化误差来优化核及相关参数，由于直接计算最小半径和最大间隔，避免了对优化问题的直接求解，因此可以很好地降低计算代价。并且该方法直接从样本出发，可以很好地体现数据的分布特征，不管数据分布是否均匀都可以适用。给出了基于凸包估计的SVM核选择的模型及实现算法。 -Proposed based on minimizing the estimated generalization error bound of the non-optimal estimation method. Most of the nuclear parameter selection methods are to get the best by minimizing the parameter values, but the computational cost for solving optimization problems is quite large, and can not properly reflect the distribution characteristics of the data. In this paper, the non-optimization technology, by minimizing the generalization error to optimize the nuclear and related parameters, due to the direct calculation of the minimum radius and maximum interval, avoiding the direct solution of the optimization problem, it can very well reduce the computation cost. And that the method directly from the sample one can well reflect the distribution chara

在对神经网络了解一点点后就可看懂这个，介绍MATLAB神经网络工具箱运用

机器人足球实现的核心代码-Robot Soccer realize the core code

遗传基因算法源代码(资料)，C++源代码，是研究遗传算法的入门程序。-genetic algorithm source code (information), C source code, is to study the genetic algorithm entry procedures.