遗传算法解决TSP问题,在vb开发环境中，在网上找的。

matlab的典型算法（包括神经网络、遗传算法、概率算法、模拟退火算法）-matlab typical algorithms (including neural networks, genetic algorithms, probabilistic algorithms, simulated annealing algorithm)

对于含有噪声的的数字图像模式“1、2、3、4”，使用“hopfield”神经网络，进行联想、识别，以去除噪声的影响。-for containing noise of the digital image model "1,2,3,4", "hopfield" neural network, Lenovo, identification, in order to remove noise impact.

使用禁忌搜索法约求解瑟夫环改进算法，程序简单易懂。-use tabu search about solving Cerf Central improved algorithm, procedures simple and understandable.

C++,Fortran和Matlab分别实现的bp算法程序 方便初学者学习和调用-C++, Fortran and Matlab algorithm bp, respectively, procedures realize the convenience of beginners to learn and call

用c#实现的fcm算法 采用iris数据进行验证-With c# Realize the FCM algorithm uses iris data validation

多目标优化问题，此例中经遗传算法优化子代个体数目逐步减少，最后稳定在10个染色体个体-Multi-objective optimization problem, in this case, by the genetic algorithm to gradually reduce the number of offspring individuals, and finally stabilized at 10 chromosome individual

这是一个聚类代码，里面有分类数据，有MAKEFILE，可以实现模式的分类中-This is a clustering source code which contains classfication data and MAKEFILE.It can be used in classifying pattens.

neural network in C language

统计学习理论是建立在一套较坚实的理论基础之上的，为解决有限样本学习问题提供了 一个统一的框架。它能将很多现有方法纳入其中，有望帮助解决许多原来难以解决的问题（比 如神经网络结构及参数选择问题）；同时。在这一理论基础上发展了一种新的通用学习方法： 支持向量机（Support Vector Machine，SVM）。它己表现出很多优秀的性能，并已经成为当 今机器学习领域的研究热点。-Statistical learning theory is based on a more solid theoretical basis, in order to solve the learning problems of limited samples provides a unified framework. It will be incorporated into many existing methods, which could help solve many of the original difficult to resolve problems (such as neural network structure and parameters selection) the same time. Developed on the basis of this theory, a new universal learning methods: support vector machine (Support Vector Machine, SVM). It has been shown a lot of excellent performance and has become the hotspot of machine learning research in the field.

BP神经网络的设计前向型神经网络的实例，基于Matlab环境。-BP neural network design to the examples of neural network, based on the Matlab environment.