A variety of numerical algorithms, including: binary tree, greedy algorithm, sea...

一个遗传算法例子-example of a genetic algorithm

C# 15数码算法，A star 函数实现 -C# 15 Digital Algorithm

机器博弈机器搜索算法的研究，做acm与人工智能的可以参考下-Machine Game Machine search algorithm research, acm to do with artificial intelligence can refer to the next

svm_nu 分类源码 用于svm的分类编程同svm_c 相近-svm classification svm_nu source for the classification of programming with similar svm_c

文本分类算法很多，神经网络算法遗传算法可以用，本算法采用支持向量机SVM来实现-Text Classification Algorithm

粗糙集属性约简算法程序和相应的学术文章,以及一些参考资料和学习网站-Rough Set Attribute Reduction Algorithm procedures and the corresponding academic article, as well as some reference and learning site

大牛的神经网络支持向量机代码, 强烈推荐,实在太多，没办法,第三部分-The good program of SVM,Strong recommendation ,too long,no way,part three.

Fuzzy Rule Base Implamentation

6。《非数值并行算法――遗传算法》，刘勇等着 科学出版社 1995年第一版 本书系统地叙述了非数值并行算法之一的模拟退火算法的基本原理以及最新进展，同时为了便于读者解决实际问题，书中对具体算法的步骤作了详细介绍。本书共分七章，第一章介绍算法的思想、特点。发展过程和前景。第二章介绍算法的基本理论。第三章讨论算法解连续优化问题。第四章利用算法设计和优化神经网络。第五章介绍在组合优化中的应用。第六章介绍应用遗传程序设计解决程序设计自动化问题。第七章对遗传算法和其它适应性算法进行比较。 本书可供高校有关专业的师生、科研人员、工程技术人员阅读参考。-6. "Non- numerical parallel algorithms-- Genetic Algorithm" Liu Yong waiting 520-531 1995 version of the first book to systematically describe the non- numerical parallel algorithms one count of simulated annealing Law and the basic tenets of the latest progress, in order to help readers solve practical problems, book of the specific algorithm steps in detail. The book is divided into seven chapters, the first chapter describes the idea algorithm, characteristics. The development process and prospects. The second chapter describes the basic algorithm theory. The third chapter discusses Algorithm for continuous optimization problems. Chapter IV using the algorithm design and optimization of neural netw

用c语言演绎“生命游戏",本世纪70年代，人们曾疯魔一种被称作“生命游戏”的小游戏，这种游戏相当简单。假设有一个像棋盘一样的方格网，每个方格中放置一个 生命细胞，生命细胞只有两种状态：“生”或“死”。-with language interpretation c Life "game", the 1970s, It had been a crazy demons known as the "Game of Life" of the games, this game is quite simple. Suppose a chessboard like the same grid, each square place a living cell, cell lives only two states : "Health" or "dead."