本人编写的GramSchmidt神经网络算法，和传统的神经网络算法比较，该算法能自动产生神经元，节约时间，速度快！ 本人还加了自动产生分类的方法和适合各种函

也是学习别人的程序，不过他没有把核心代码给我-also learn from others procedures, but he did not take me to the core code

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.

基于神经网络的控制工具箱-control toolbox based on neural network

数据挖掘概念和技术，电子书，英文版，300多页-Data mining concepts and techniques

牌照自动识别-license Automatic Identification

遗传算法(图像处理)-genetic algorithm (image processing)

用模拟退火算法求解TSP问题-simulated annealing algorithm for TSP

这是一个用matlab编制的DE算法的源程序，希望大家喜欢！-This is a preparation using the Matlab DE algorithm source, hope you like them!

模式识别二维链表实现isodata算法 早期试验，界面没有优化-2D pattern recognition algorithm to achieve isodata early testing, has not been optimized interface

Eigenface and Fisherface Performance Across Pose