应用PCA（主成分分析）进行人脸识别的matlab程序，有较高成功率...

matlab所有的工具箱，包括统计工具箱、拟合工具箱、微分方程工具箱、遗传算法工具箱、模拟退火工具箱、优化工具箱。随机数工具箱、等等。很全面-All matlab toolbox, including statistical toolbox, fitting toolbox, toolbox differential equations, genetic algorithm toolbox, simulated annealing Toolbox, Optimization Toolbox. Random number toolbox, and so on. Very comprehensive

这是一个用OPENGL和VC++作的人工智能程序,大家可以借鉴一下-This is a VC with OpenGL and artificial intelligence for the procedure, we can learn from this

首先采用某种编码方式将解空间映射到编码空间，每个编码对应问题的一个解，称为染色体或个体。一般通过随机方法确定起始的一群个体，称为种群，在种群中根据适应值或某种竞争机制选择个体，使用各种遗传操作算子产生下一代如此进化下去，直到满足期望的终止条件。-begin using some form of coding mapping to the solution space coding space, each encoding a corresponding solution to the problem, known as chromosome or individual. General randomly determined by the initial group of individuals, called stocks, the stocks based on fitness or some mechanism to choose the individual competition, the use of genetic Operator evolution of the next generation so on, until the termination meet expectations conditions.

人工神经网络BPN，人工神经网络BP算法源代码-Artificial neural network BPN, artificial neural network BP algorithm source code

自组织系统Kohonen网络模型。对于Kohonen神经网络，竞争是这样进行的：对于“赢”的那个神经元c，在其周围Nc的区域内神经元在不同程度上得到兴奋，而在Nc以外的神经元都被抑制。网络的学习过程就是网络的连接权根据训练样本进行自适应、自组织的过程，经过一定次数的训练以后，网络能够把拓扑意义下相似的输入样本映射到相近的输出节点上。网络能够实现从输入到输出的非线性降维映射结构：它是受视网膜皮层的生物功能的启发而提出的。~..~-Kohonen network model. For Kohonen neural network, competition is this : For the "winner" of neurons c, in its switching around the region neurons in varying degrees, to be excited, and the switching outside the neurons were inhibited. Network learning is a process in the network connecting the right under the training samples for adaptive, self-organizing process, after a certain number of training, network topology can sense similar to the mapping of the input samples similar to the output nodes. Network can be achieved from input to output of nonlinear reduced-dimensional mapping structure : it is subject to retinal cortex of the biological function inspired by. ~ ~ ..

基于Hopfield人工神经网路的室内全域路径优化。主要是利用Hopfield求解TSP的方法。用于课程设计。-based on artificial neural network Hopfield indoor entire domain path optimization. Hopfield is mainly used for TSP method. For course design.

这个程序是从广度优先搜索,深度优先搜索,A算法以及A算法等多方面算法来解决八数码问题-This program is breadth-first search, depth-first search, A algorithm and A algorithm and many other algorithms to solve the problem of digital 8

模式识别分类程序，贝叶斯，神经网络分类训练程序，很不错啊-the classification procedures, Bayesian neural network classifier training procedures, and it is very responds :

该程序提供了一个计算机下国际象棋的功能，拥有完全的代码，由matlab编成的很多人工智能的函数，有详细的文档，直接运行chess.m文件即可-The program provides a computer under the functions of chess, with complete code, matlab compiled from many artificial intelligence function, has a detailed document, a document can be directly run chess.m

Matlab神经网络工具箱应用简介 神经网络已经在各个领域中应用，以实现各种复杂的功能。这些领域包括：模式识别、 鉴定、分类、语音、翻译和控制系统。 如今神经网络能够用来解决常规计算机和人难以解决的问题。我们主要通过这个工具箱 来建立示范的神经网络系统，并应用到工程、金融和其他实际项目中去。-Matlab neural network toolbox application profile neural network has been applied in various fields in order to achieve a variety of complex functions. These areas include: pattern recognition, identification, classification, voice, translation and control systems. Today neural networks can be used to conventional computers and people to solve difficult problems. We mainly through the toolbox to create a model of neural network systems, and applied to the engineering, financial and other practical projects.