基于java实现的遗传算法 神经网络 实数编码 交叉 选择 变异

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.

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

一个利用C#语言实现的遗传算法源程序-a C# language of the genetic algorithm source

人工免疫网络,实现分类,聚类,函数寻优等功能,采用matlab编写.-artificial immune network, classification, clustering, search function Excellence function, prepared using Matlab.

本文在学习探讨VSM算法的同时，对SVM在液压系统故障诊断中的应用进行了论述。以液压设备中常见的克令吊为研究对象，运用支持向量机理论对其进行故障诊断的仿真研究和实验研究，其中包括实验系统数学模型的设计、仿真模型的建立(用SIMUL工NK仿真软件建立仿真模型)、特征参数的提取、数据的采集等。-In this paper, VSM learning algorithm to explore the same time, SVM in the hydraulic system fault diagnosis are discussed. With hydraulic equipment in the common crane as the research object, using support vector machine theory of their fault diagnosis simulation and experimental studies, including a mathematical model experimental system design, simulation model (using SIMUL Engineering Simulation NK Software to build simulation models), the extraction of characteristic parameters, data collection and so on.

新手上路： 自己编写的BP神经网络程序，还不是成熟，希望能够加入社区和高手们学习学习-Getting Started: I have written procedures for the BP neural network, is not yet mature, I hope you can join the community and learning to learn

人工智能运用广度优先算法来解决八数码问题,由初始状态到目标状态按层搜索-breadth priority use of artificial intelligence algorithms to solve eight digital issue, the initial state to the target state by layer Search

支撑向量机算法的一种改进算法，是基于增量学习的算法-Support Vector Machine Algorithm an improved algorithm is based on the incremental learning algorithm

TSP问题的一个简单实验例程,应用效果不错,可以作为初学者的参考-TSP problem with a simple test routine, applications good results can be used as a reference for beginners

gmeans-- Clustering with first variation and splitting 文本聚类算法Gmeans ,使用了3种相似度函数,cosine,euclidean ,KL.文本数据使用的是稀疏矩阵形式. -gmeans clustering with first variation and splitting Gmeans,a text clustering algorithm, uses 3 functions,cosine,euclidean and KL in similarity measuring.Text data are described by sparse matrix.