这个程序是一个六子棋对弈引擎，采用六子棋标准对弈协议，在对弈平台下可以实现人机对弈或者程序间对弈。具有较好的棋力。...

matlab在神经网络中的一些界面函数-Matlab in neural network interface function of

LM编程算法，在神经网络中有很大应用之处，神经网络源代码,及BP网络训练界面,其中的L-M算法非常实用 -LM programming algorithm, in a large neural network applications, the neural network source code, and the BP network training interface, in which the LM algorithm is very practical

图像模式识别的聚类器设计，采用VC++实现，和分类器设计相对应。-the designation of image pattern recognation,VC++ is adopted, along with the sort ware designation

遗传算法源程序evolution calculates the law origin code ,C-C++,人工智能/AI-NN-PR -genetic algorithm calculates the source evolution law orig in code, C-C, AI/AI- NN-PR

用c++实现的决策树算法，windows环境下，希望对学习数据结构和算法的朋友有所帮助。-achieve with the Decision Tree Algorithm, windows environment, and I hope to learn from data structures and algorithms friends help.

西安交大出版的王小平的遗传算法的书一个简单遗传算法例子 .-Wang Xiaoping published in the book GA GA a simple example.

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. ~ ~ ..

RBF程序，可实现函数拟合，本人已经亲自调试过，效果不错。-RBF procedures can realize function fitting, I have personally debugging, and good results.

模式识别(讲义练习).-pattern recognation

gmeans-- Clustering with first variation and splitting 文本聚类算法Gmeans ,使用了3种相似度函数,cosine,euclidean ,KL.文本数据使用的是稀疏矩阵形式. -gmeans clustering with first variation and splitting Gmeans,a text clustering algorithm, uses 3 functions,cosine,euclidean and KL in similarity measuring.Text data are described by sparse matrix.