求最优值的一个算法

利用a星算法来走迷宫的C++实例。console下运行，a星算法比较简洁明了，便于学习-The use of a satellite algorithm to Maze in C++ examples. console running, a star algorithm is relatively simple and clear, easy to learn

这是一个简单的人工智能的例子 希望大家能以此为作出更好的 更完善的

SOBI算法，采用二阶统计量进行盲分离。-SOBI algorithm, using second-order statistic for blind separation.

基于Web页面的人工智能控件例证 [VB源码]-Web page based on the example of artificial intelligence control [VB code]

水平有限，仅供参考！望大家多提宝贵意见！-limited, and for reference purposes only! Hope you will provide more valuable opinions!

用bp实现的数字识别程序，用到了经典的bp算法，可移植到其他应用程序中去-bp achieve with the digital identification procedures, the use of classical bp algorithm can be transplanted to other applications go

粒子群优化算法，挺好，大家可以试试，非常好的优化算法-PSO algorithm, is very good, we could try, very good Optimization Algorithm

贝叶斯分类代码,实现分类-Bayesian classification code, realize Classification

神经网络模式识别及其实现，第三章。为大家提供参考。-pattern recognition and neural network to achieve, the third chapter. To provide a reference.

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