浙江大学编的神经网络入门教程，pdf格式。

神经网络hopfield源码- Nerve network hopfield source code

RBF神经网络应用于IRIS数据集的例子-Am example of RBF-NN applied on IRIS Data Set

用遗传算法求解最短路径问题-Genetic Algorithm for the shortest path problem

神经网络C程序的第9章-neural network C procedures for the Chapter 9

基于MATLAB的神经网络非线性系统辨识软件包.-MATLAB-based nonlinear neural network system identification package.

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.

介绍了蚁群算法解决具体问题的优化算法，实践证明效果很好-on the ant colony algorithm for solving specific problems Optimization Practice has proved very effective

B-P算法对函数的拟合程序-B-P algorithm to function fitting procedures

一个比较简单的遗传算法程序，有注释，适合初学者一般学习

非常好的模式识别教材，适用于研究生教学，或者初学者-Very good teaching pattern recognition, applied to post-graduate teaching, or beginners