模式识别中的几个常用算法，包括ISODATA算法、K－均值算法、感知器算法、LMSE最小误差、贝耶斯分类。...

遗传算法的源程序，里面有基本的遗传算法的各种操作过程，很全面！-genetic algorithm source, there are basic genetic algorithm various operational and very comprehensive!

一个基本遗传算法求函数最大值的程序，在Vc中运行结果很好，有详细的代码注释，可以做为模板使用。 sag_sag.c-a basic function of genetic algorithms for maximum procedures, the Vc running good results, a detailed source notes, can be used as a template. Sag_sag.c

模式识别中的K－均值算法演示-pattern recognition, the K-means algorithm demo

人工智能运用广度优先算法来解决八数码问题,由初始状态到目标状态按层搜索-breadth priority use of artificial intelligence algorithms to solve eight digital issue, the initial state to the target state by layer Search

神经网络中的SOM算法的C语言程序实现,可以对初学者了解神经网络有帮助.-SOM neural network algorithm in the C language program can be for beginners understand the neural network has to help.

模式识别与人工智能，圆检测HOUGH变换的改进算法-Pattern Recognition and Artificial Intelligence, HOUGH transform circle detection algorithm to improve

The tca package is a Matlab program that implements the tree-dependent component analysis (TCA) algorithms that extends the independent component analysis (ICA), where instead of looking for a linear transform that makes the data components independent, we are looking for components that can be best fitted in a tree structured graphical model. The TCA model can be applied in any situation where the data can be assumed to have been transformed by an unknown linear transformation.

美国麻省理工学院出的遗传算法方面的好书.-Massachusetts Institute of Technology in the United States out of aspects of genetic algorithms books.

该源码用来实现基本粒子群的算法，值得参考-The source algorithm is used to achieve the elementary particle group, worth considering

开发环境:Matlab 简要说明:自组织特征映射模型(Self-Organizing feature Map)，认为一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。-development environment : Matlab Brief Description : Self-Organizing Map model (Self-Organizing Map feature), a neural network that external input mode, will be divided into different regions, the regional input to the model with different response characteristics and the process is automatic End %. The neurons connect with the right to a certain value of the distribution. Most neighboring neurons stimulate each other, distant neurons were mutual inhibition, the vision has a weaker stimulus. Self-organizing feature mapping method is a non-teachers clustering method.