基于基本遗传算法的函数最优化 ，这也是本人收集的遗传算法优化软件，望对本网站有所帮助！！...

这是一个模式识别中的最近邻分类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 for nearest neighbor classification simulation of a simple classification 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 there is a great help.

支持向量机学习源码程序支持向 量机学习源码程序支持向 量机学习源码程序-Support vector machine learning support vector machine learning source program source program source program support vector machine learning support vector machine learning support vector machine learning source program source program

蚂蚁算法的VC代码源，模拟蚂蚁觅食的行走途径，解决最优路径问题。-Ant Algorithm VC source code to simulate the foraging ants to walk way to solve the optimal routing problem.

SCS-C is another port to C of Goldberg s Simple Classifier System, with a few extensions.-SCS-C is another port to C of Goldberg s Simple Classifier System, with a few extensions.

神经网络与遗传结合算法-neural networks and genetic algorithms combine

这是一个Prolog程序，是我的同学做的，对于学Prolog的朋友有些帮助，希望大家多多交流。-This is a Prolog program is to do my classmates and friends to learn Prolog some help, I hope a lot of U.S. exchanges.

十折交叉验证方法的matlab code 再模式识别中是一个非常重要的试验方法-a very important technique crossvalidate in pattern recognazition

文中设计了一个3层径向基神经网络(RBFN)用于对企业的5项评价指标进行聚类分析，并与蚁群算法做了比较分析。RBFN由输入层 到隐含层采用传统的K一均值算法，隐含层到输出层通过“模2递减”学习速率的BP学习；蚁群算法根据信息素的分配能够自动调整收索 路径，从而达到数据自动聚类的目的。结果表明，与蚁群算法相比，改进RBFN具有快速收敛、自动识别奇异样本的优点，而蚁群算法 无须教师学习，并能够达到全局最优。-In this paper, we designed a 3-layer RBF neural network (RBFN) for the 5-to-business evaluation indicators cluster analysis and ant colony algorithm has done a comparative analysis. RBFN from input layer to hidden layer using the traditional K-means algorithm, hidden layer to output layer through the Mode 2 decreasing learning rate of BP learning ant colony algorithm based on pheromone can automatically adjust the allocation of land Faso path, thereby to achieve the purpose of automatic data clustering. The results showed that compared with the ant colony algorithm to improve the RBFN has a fast convergence, automatic identification of singular advantage of the sample, while the ant colony algorithm do not need teachers to learn and be able to reach the global optimum.

数据挖掘中常常会遇到apriori算法 这是apriori算法的java版-data mining algorithm will often encounter this algorithm is algorithm java version of the algorithm

基于MATLAB完成的神经网络源程序 大家-Based on the MATLAB neural network to complete the U.S. source