c++编译的目标规划遗传算法，编写了较为详细的原程序，被广泛使用。...

matlab环境下，基于云模型的分类器，包括基于例子群优化的云分类器，和属性相似度云分类器。-Matlab environment, based on cloud model for the classification, including examples Swarm Optimization Based on the cloud classifier, and attribute similarity cloud classifier.

计算欧几里德距离C语言源代码,次源码经测试可有效运行,源码简单易懂-Calculation of Euclidean distance C-language source code, sub-source has been tested and can be effectively run, easy-to-read source

采用遗传模拟退火的方法解决TSP问题，界面友好，程序运算效果很好-genetic simulated annealing method to solve the TSP, friendly interface and operation procedures with good results

实现自适应模糊控制的功能，大家 可以下载下来-adaptive fuzzy control

Genetic Programming。GP算法在方程逼近求解上的应用。-Genetic Programming. GP approximation algorithm for solving equations in the application.

关于语音情感识别的一篇论文，里面描述了人工神经网络的方面-Speech Emotion Recognition on a paper, which describes aspects of artificial neural network

一个支持向量机的工具箱。包括2类分类算法与回归算法。-A Support Vector Machine Toolbox. Including Category 2 classification algorithm with the regression algorithm.

遗传算法的实现,c++/vc++/遗传算法的学习安例!-genetic algorithm to achieve, c/vc/GA-cases of learning!

遗传算法解H病态方程组-Genetic Algorithm for CSM Group H

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.