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.

神经网络C程序的第6章-neural network C procedures for the Chapter 6

正则化方法分类器，模式识别，matlab-Regularization method classifier, pattern recognition, matlab

这个是神经网络中的HopField网络模拟，是利用外向和的双极性HopField网络，有很好的借鉴价值。-This is a neural network of Discharge network simulation is the use of the outward and bipolar Discharge network, a very good reference value.

遗传算法的函数优化sga-genetic algorithm optimization function sga

VC写的harris角点检测程序。又名plessey，最经典也是目前效果最好的算法，比susan抗噪要好（实际的讲）-A program of Harris corner points test writen by VC.We can call is as plessey,it is the best algorithm.It better than susan from real useful point.

很管用的GIS控件，对于进行GIS开发的人员很有帮助，第一次发请多关照-very effective GIS component for GIS development for the staff helpful, first made news conference for the

用vc编写的专家系统的源代码,对初学者很有帮助-vc used in the expert system"s source code, useful for beginners

《人工神经元网络》含有实用的网络模型、学习规则和训练方法的一些算法程序，对学习人工智能，模式识别的人有一些帮助！-"artificial neural network" contains practical network model, learning rules and the training methods of some algorithm for the study of artificial intelligence, pattern recognition of some help!

这是一个识别两句话之间的相似度的程序，输入是两句中文文字，输出是得分（满分100）-This is a recognition of the similarity between two sentences of the procedure, the input of two Chinese characters, the output is a score (out of 100)