神经网络C源程序（nnbp)

这是一本比较详细介绍进化算法的电子书，是pdf格式的。-This is a more detailed introduction of the e-book evolution algorithm is pdf format.

遗传算法的一个例子：旅行商问题。C++源代码，适合初学者研究遗传算法与最优化等方面的知识。-a genetic algorithm examples : the traveling salesman problem. C source code, suitable for beginners and genetic algorithm optimization and other kinds of knowledge.

人工智能中重要的一个问题, 用广度优先搜索的方法解决-AI an important issue, breadth- first search of solutions

《游戏编程中的人工智能技术》一书中6，7章源代码- Game programming in artificial intelligence technology, one source book, Chapter 6,7

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and ot

java　象棋源程序，人工智能，搜索引擎-java chess source, artificial intelligence, search engines

字符识别系统——利用双重用途分类后的神经网络系统对原始字符进行识别编码

该程序包包含三个函数，一个用于建立BP神经网络，一个用于训练该网络，最后一个用于测试样本。-The package contains three functions, one for the establishment of BP neural networks, one for training the network, the last one for the test samples.

A star 算法类的实现(算法接口，针对迷宫问题设计)-algorithm to achieve the category (algorithm interface design issues against maze)

神经网络C语言源程序-neural network C language source