一个用人工免疫算法实现的TSP源程序 免疫算法实现的TSP源程免疫算法实现的TSP源程...

八数码难题源代码-eight digital source code problems

用免疫算法来实现TSP问题的求解，程序全，可以运行。-Using immune algorithm to achieve the TSP problem solving, program-wide, you can run.

程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。-procedures contained in the set include : number, the total sample number, the number of samples modeling, forecasting several factors, forecasting several targets, learning factor, momentum factor, the number of training, the overall error of hidden nodes.

用C++编写的遗传算法，涵盖较多内容，有文档-prepared by the genetic algorithm, covering more content, documents

The code on this diskette has been organized by chapter. Each subdirectory containing listing has a readme.txt describing program usage and any relevent file formats. The readme will also describe how to compile the target programs under IBM OS/2 (TM) using the using C Set++ compiler (TM). All programs on this diskette have been compiled and tested in this environment. The majority of programs on this diskette should port to other environments with only minor adjustments. The exception to this are those programs which utilize presentation manager for graphical display of program data. In particular, the grid1 programs in chapt4ackprop and chapt3 fall into this latter category.

： 移动机器人路径规划是机器人学的一个重要研究领域。 针对移动场地的特点对其进行了建 模与存储，然后将场地处理成简单的连通图-: Mobile robot path planning is an important study robot research field. Characteristics for mobile sites for their modeling and storage, and then deal with the venue into a simple connected graph

遗传算法用于微波网络综合- The heredity algorithm uses in the microwave network to synthesize

This directory contains utility for implementing generic Reqursive Least Squares (RLS) algorithm. The example shows how one can use the utility to estamate the parameters of a simple linear discrete time system.

基于VC开发的一个神经网络源程序,与大家共享-development of the VC on a neural network source files, and share

The tca package is a Matlab program that implements the tree-dependent component analysis (TCA) algorithms that extends the independent component analysis (ICA), where instead of looking for a linear transform that makes the data components independent, we are looking for components that can be best fitted in a tree structured graphical model. The TCA model can be applied in any situation where the data can be assumed to have been transformed by an unknown linear transformation.