支持向量机

基于梯度训练方法的rbf神经网络实现，采用随机训练及测试数据-Gradient-based training methods of rbf neural network, using a random training and test data

聚类分析简介，是个课件，希望对大家有帮助。-Introduction Cluster analysis is a courseware, we want to help.

Lin-Kernighan的R-Opt算法。主要思想是CLK，小规模的TSP可以在很短的时间内都到最优解。-Lin-Kernighan algorithm for the R-Opt. The main idea is CLK, small-scale TSP can be in a very short period of time have gone to the optimal solution.

机器人足球实现的核心代码-Robot Soccer realize the core code

遗传算法原程序，并行算法，原代码，随机搜索算法-GA original program, parallel algorithm, the original code, random search algorithm

本文件为遗传算法的工具箱，包括遗传算法的各种选择、交叉、变异等算法。-This document is for the genetic algorithm toolbox, including a variety of genetic algorithm selection, crossover, mutation and other algorithms.

< 网络机器人java编程指南>>的配套源程序，研究如何实现具有Web访问能力的网络机器人的书。从Internet编程的基本原理出发，深入浅出、循序渐进地阐述了网络机器人程序Spider、Bot、Aggregator的实现技术，并分析了每种程序的优点及适用场合。本书提供了大量的有效源代码，并对这些代码进行了详细的分析。通过本书的介绍，你可以很方便地利用这些技术，设计并实现网络蜘蛛或网络信息搜索器等机器人程序。-lt; Lt; Java Web Robot Programming Guide gt; Gt; The matching source to study how to achieve the ability to visit the Web network robot book. Internet programming from the basic principles and simple, step by step elaborate procedures of the network robot Spider, Bot, aggregator of technology, and analysis of the merits of each procedure and applicable occasions. The book provides plenty of source code, as well as code for a detailed analysis. Through the book, you can easily take advantage of these technologies, network design and network information spider or other search engine robot procedures.

运用比例共轭梯度动量算法来训练BP网络并对机械振动峰峰值进行预测。-use ratio conjugate gradient algorithm to train the momentum BP also peak of mechanical vibration prediction.

模式识别中c―均值算法，调试已通过，开发工具用的是VC＋＋6.0-Pattern Recognition in the c-means algorithm, debugging has passed, development tools using a VC 6.0

Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification. This document explains the use of libsvm.