hmm算法 包括前后向算法、viterbi算法、bw算法等另外包括内存申请等源代码...

人工智能8数码问题-artificial intelligence problem

这个程序是在windows平台下运行game of life最好的平台。它不仅对细胞空间没有限制、运行速度非常快、界面很友好，而且能够为你提供大量的初始细胞分布图案，你还可以任意组合这些图案达到你象要的构形，然后让这些构形动起来组合出更加神奇的生命游戏的世界。-the procedure is the windows platform running game of life the best platform. It not only on the cell space is no restriction, running very fast, very friendly interface, but you have to provide a lot of initial cell distribution patterns, you can design any combination of these to you as to the configuration, then let these configuration movement combined to make life more wonderful game world.

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

HIGHLIGHT TRUE #define NOHIGHLIGHT FALSE #define UPDATE TRUE #define NOUPDATE FALSE #define FORMAT TRUE #define NOFORMAT FALSE #define LEFT 0-HIGHLIGHT# define NOHIGHLIGHT TRUE FALSE UPDATE# define TRUE## define FALSE de NOUPDATE fine FORMAT# define TRUE FALSE# defin NOFORMAT e LEFT 0

简单遗传算法(SGA) 主要算法模块有:选择 交叉 变异 (三个遗传操作) 和 群体更新 -simple genetic algorithm (SGA) algorithm for the main modules are : choice of crossover and mutation (3 Genetic Manipulation) and update groups

数据挖掘中很不错的源码,一个fss算法的java源程序,有极好的可读性-data mining is a good source, a fss algorithm java source files, has an excellent readability

基于基本遗传算法的函数最优化，C++源代码-Price quilt hanging遗price for dialysis tub cavity算Finally, Yang Zhao ， Pro C++ Daitou Tungsten measurements

标准的粒子群优化算法,visual c++.net环境下编写的代码,有助于学习和理解粒子群算法-Standard particle swarm optimization algorithm, visual c++. Net code to prepare an environment to help learning and understanding of particle swarm optimization

本程序能实现专家PID控制。专家控制的实质是基于受控对象和控制规律的各种知识，并以智能的方式利用这些知识来设计控制器。-the procedures to achieve expert PID control. Experts control of the controlled substance is based on the object and control the various law knowledge, and the intelligent use of this knowledge to design controller.

本代码用蚁群算法求解带时间窗的车辆路径问题-The code with ant colony algorithm with time window of vehicle routing problem