PSO算法求解带约束优化问题，包含所有源程序和运算图片。写论文是编的。...

人工智能中的广度搜索的九宫问题 用VC实现-breadth of artificial intelligence search JiuGongTu issue with VC

自适应小生境递阶遗传算法求解函数优化问题 想对其他函数求解就修改function函数-adaptive hierarchical genetic algorithm optimization function to function for the other amendments on the funct ion function

有关RBF的参考文献，希望能够给你带来一定的帮助-RBF-related references, hoping to give you some help

神经网络模式识别及其实现，第九章。 内含：HOPFIELD和LAM -pattern recognition and neural network to achieve, chap. Intron : LAM and HOPFILED

机器学习讲义，内容丰富，讲解详细清楚，很全面积。-Machine Learning lecture, rich in content, clearly explaining in detail, it is the whole area.

我做的一个用matlab程序编写的BP算法，是是我毕设的一部分，程序运行绝对没有问题，欢迎大家指正。-I do a Matlab programming with the back-propagation algorithm, is part of a complete, running absolutely no problem, we are happy to correct.

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!

数据挖掘关联算法VC实现，很实用，只要按格式修改数据格式就好了

eview 编写的时间序列预报程序 可以用于金融预报，等-eview the preparation of time-series forecasting procedures can be used for financial forecasting, etc.

人工股市（Artificial Stock Market，简称ASM）是模拟股市运作的一个程序。在这个电脑中的虚拟市场中，若干被称为交易者的人工智能程序(Agent)通过观察它们所在的数字世界中股价和股息的不断变换而做出预测，并且根据这些预测做出购买股票与否以及购买股票数量的决策。反过来，所有的交易者的决策又决定了股票的价格，这样，整个的股票交易市场就构成了一个自我封闭的计算系统。同时，这些交易者都具有学习的能力，可以根据以前预测的成功或者失败对自己的决策进行调整，并且通过一种被称为遗传算法的方法产生创新能力。-artificial stock market (Artificial Stock Market, or ASM) is a stock market simulation operation of the procedure. In this computer in the virtual market, a number of traders known as artificial intelligence (Agent) by observing them where the digital world and the stock dividend and the constantly changing projections, and based on these projections made whether or not to purchase stocks and the purchase of shares in decision-making. Conversely, all the decision-making transactions in turn determines the share price, so that the entire stock market would constitute a self-enclosed computer system. Moreover, these transactions are capable of learning, can be predicted based on previous success or failure of their decisions for the