支持向量机Windows Svm

遗传算法解决NN逼近任意函数-genetic algorithm to solve arbitrary function approximation NN

遗传算法-Genetic algorithms

基于信息熵的免疫算法是一种修正的免疫算法，方法并不复杂，对于特定问题效果较好-Entropy-based immune algorithm is a modified immune algorithm, methods are not complicated, for the specific problem better

GEP（基因表达式程序设计）是一种新的演化算法，该文件是基本的GEP编程，采用功能的封装格式，测试通过，能够方便的使用。-GEP (Gene Expression Program Design) is a new evolutionary algorithm, which is the basic GEP programming, functional package format, through testing, to facilitate their use.

双峰和多峰函数最大值的遗传算法求解 利用基本遗传算法的思路寻找双峰或多峰函数的最大值，选择采用轮盘选择方法；-Bimodal and multimodal function of the genetic algorithm the maximum use of the basic idea of genetic algorithm to find bimodal or multi-peak function of the maximum wheel options to choose from

清华大学不确定规划教材中的用遗传算法训练神经元网络的混合智能算法1-Tsinghua University, uncertainty in the planning of teaching materials by using genetic algorithm trained neural network Hybrid Intelligent Algorithm 1

这是神经网络中一个重要的算法，挺有意义的。-This is a neural network algorithm important, quite meaningless.

该程序是基于MATLAB环境的pso实现tsp问题-The program is based on the MATLAB environment, the issue of PSO realize tsp

提出了一种利用S函数实验结果表明：ICA可以将 脑电信号中包含的心电（ECG）、眼电（EOG）等多种干扰信号成功地分离出来-use of a S-function experimental results show : ICA EEG can be included in the heart (ECG), eyes (EOG) and other interference signal successfully separated

本程序利用蚂蚁算法解决TSP（旅行商问题）问题-This procedure using ant algorithm to solve TSP (Traveling Salesman Problem) problem