是用遗传算法求函数：f(x1,x2)=100(x1*x1

海洋油污扩散模型的计算机实现。简单了点，不过也是一中思路。-marine oil pollution diffusion model of the computer. The simple point, but which is also a line of thought.

一个使用Java实现的人工智能的图搜索策略程序――酒九宫图问题 人工智能－图搜索策略－演示程序－使用说明 程序简介 在人工智能领域，对隐式图的搜索是求解问题的一种基本方法，本程序通过使用多种图搜索策略，对 重排九宫问题进行求解，演示了“广度优先搜索”、“深度优先搜索”、“有界深度优先搜索”、 “最好优先搜索”和“局部择优搜索”五种基本的图图搜索策略。 整个程序使用了动画技术，界面设计美观友好，使用方便。-use a Java artificial intelligence plans Search Strategy-- Liquor JiuGongTu problems of artificial intelligence-map search strategy- Demonstration Program-use guide in the field of artificial intelligence, the implicit search of the plan to solve the problem is one of the basic methods, the procedures through the use of multiple map search strategy, the rearrangement JiuGongTu problem solving, presentation of the "breadth- first search," "depth-first search", "bounded depth-first search", "best-first search" and "partial selection of the best search" five basic map search strategy. The whole process of using animation, interface design aesthetic friendly, easy to use.

用vc写的，同时有用bp算法和用rbf神经网络进行训练和识别的程序，可以看到两种不同方法得到的结果-vc used to write, while useful bp algorithm and the use of rbf neural network training and identification procedures, we can see the two different methods to obtain the result

载入txt文件迷宫，含几种搜索方法，例如depth first search, breadth first search等-maze included txt file containing several search methods, such as depth first search, breadth first search, etc.

基于java实现的遗传算法的源代码，利于初学者了解GA以及如何用java实现。-Java-based genetic algorithm realize the source code, which will help beginners learn how to use GA as well as realize java.

将强化学习算法应用于Tic-tac-toe游戏-The reinforcement learning algorithm is applied to Tic-tac-toe game

实现了fisher线性分类器的功能,源码使用matlab编程,通俗易懂-Realize the fisher linear classifier functions, source code using matlab programming, user-friendly

人工神经网络神经网络的程序和训练数据 解压缩后可以运行的-ANN neural network training procedures and decompress data after the run

介绍人工智能语言Prolog的书籍-introduced artificial intelligence language books Prolog

遗传算法多点交叉算法-genetic algorithms more cross-Algorithm