BP神经网络用于函数拟合与模式识别的Matlab示例程序,说明很详细,并且代码可以直接拿来用...

五子棋是一种受大众广泛喜爱的游戏，这里介绍五子棋程序的数据结构、评分规则、胜负判断方法，重点分析了搜索算法，并在传统的博弈算法在五子棋应用中进行一些改进，从而使剪枝更有效，运算性能更好。改进包括：不使用closed表；改变棋盘搜索顺序；增加记录最大棋盘信息的指针。实验证明，这几点改进对提高效率有很高帮助。

John Wiley & Sons,.Fuzzy Engineering Expert Systems with Neural Network Applications.[2002.ISBN0471293318]

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

Aprior算法实现程序-Aprior algorithm program! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !

NSGA-II遗传算法的文档，里面的内容比较好理解，是学习遗传算法的必备知识-Genetic Algorithm NSGA-II of the document, which is better understanding of the content is a genetic algorithm to learn the knowledge necessary

非常经典的遗传算法工具包，C语言版本的。包括各种常用算法-very classic genetic algorithm tool kit version of the C language. Including common algorithms

c语言编写的蚁群算法源程序，应用于TSP-c language source code of ant colony algorithm applied to TSP

一个遗传算法程序-A genetic algorithm program

关于人工神经网络的实用书籍，适合初学者，以及有一定基础的读者学习-Information on artificial neural networks and practical books, suitable for beginners, as well as readers of a certain basis for learning

这是基于MATLAB编写的一个神经网络的实例。-This is based on the MATLAB neural network to prepare a case in point.