Neural network algorithm procedures, mathematical modeling of the students very...

该程序是一整数版的PSO程序。该程序对于整数版PSO的各种应用可作为模板程序。-that the procedure was an integral version of the PSO procedures. The procedure for integer version of the PSO as a template application procedures.

使用最小二乘支持向量机对多维pyrim数据进行回归，需要下载最小二乘支持向量机工具箱。-use of least squares support vector machines for multidimensional data pyrim return need to download least squares support vector machines toolbox.

This a GA implementation using binary and real coded variables. Mixed variables can be used. Constraints can also be handled. All constraints must be greater-than-equal-to type (g >= 0) and normalized (see the sample problem in prob1 in objective()).-This a GA implementation using binary and real coded variables. Mixed variables can be used. Constraints can also be handled. All constraints must be greater-than-equal-to type (g gt;= 0) and normalized (see the sample problem in prob1 in objective()).

面试老鼠和猫连动问题的集中解决方案 可以建议应付面试问题-interview rats and cats even move the concentrated solution can meet the proposed interview questions

用遗传算法求解TSP问题。。。matlab编写，并附带有城市坐标用于检验。-Genetic Algorithm for TSP with the problem. . . matlab prepared, together with the coordinates with the city for inspection.

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-An artificial immune algorithm to achieve the TSP source of immune algorithm to achieve the source of the TSP process of immune algorithm to achieve the source of TSP-way

本书就使用matlab实现bp神经网络进行了较为详细的说明，书中包含许多具体的实例说明，希望能为大家带来一定的帮助。-book on the use of Matlab bp neural network to achieve a more detailed description of the book contains many specific examples, we hope to bring help to a certain extent.

模式识别中isodata的 vc++实现-pattern recognition isodata achieve the vc

人工智能GRAPHSEARCH算法C语言实现-GRAPHSEARCH artificial intelligence algorithm C Language

此文档是遗传算法原理加源代码。 生物的进化是一个奇妙的优化过程，它通过选择淘汰，突然变异，基因遗传等规律产生适应环境变化的优良物种。遗传算法是根据生物进化思想而启发得出的一种全局优化算法。 -This document is the principle of genetic algorithm source code increases. Biological evolution is a wonderful optimization process, it eliminated by choosing a sudden variation of genetic and other changes in the law to adapt to the environment arising from the fine species. Genetic algorithm is based on ideas of biological evolution and the inspiration derived from a global optimization algorithm.