multi

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

这是我写毕业论文的源程序,用模拟退火算法求解VRPTW问题.在我机子上运行过了,结果很好.-This is the thesis I wrote the source code, using simulated annealing algorithm to solve VRPTW problems. In my machine run-off, resulting in very good.

有关遗传算法的源码-the genetic algorithm source code

svm Main_SVR_Epsilon 用于svm回归的 在matlab中运用 -svm regression svm Main_SVR_Epsilon for use in matlab

c语言的神经网络源程序-c language source neural network

微分进化算法DE是1995年由Rainer Storn和Kenneth Price首先提出。DE已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点[5,6] 。它在许多优化问题中都表现出优于自适应模拟退火算法、POS 算法、GA算法的性能。DE利用实数值参数向量作为每一代的种群，它的自参考种群繁殖方案与其他优化算法不同。-DE was first proposed in 1995 by Rainer Storn and Kenneth Price and had been proven that it is efficient, convergent, and robust in the solution process. [5,6] In many optimize questions, its performance surpasses the adaptive simulated annealing algorithm, the POS algorithm, and the GA algorithm. DE gets each generation of population using the real value parameter vector, and the crucial idea of DE is a scheme for generating trial parameter vectors.

这是一个模式识别中的K均值算法的一个简单仿真分类实例，其中female.txt和male.txt是训练样本，test.txt是测试样本，分类效果非常好，对于模式学习的初学者将会有很大帮助。-This is a pattern recognition algorithm of the K-means classification of a simple simulation example is one of female.txt and male.txt training samples, test.txt is the measurement, classification effect is very good for beginners will be learning model has great help to me.

运用神经网络的方法先将数据分类分析,然后再将未知类归类-The use of neural network analysis of data classification methods first, and then classify the unknown category

apriori经典算法及一个改进算法的程序,里面有具体的解析与操作-classical apriori algorithm and an improved algorithm for the procedure, there are specific analytical and operational

粒子群算法的示例程序，不错。可用来进行函数优化、神经网络训练等。-PSO algorithm sample program, yes. Available for function optimization, neural network training.