基于梯度法编写的RBF神经网络程序，实现对输入数据的逼近

ISP(独立集问题)的模拟退火算法程序源码-ISP (Independent Set Problem) procedure of simulated annealing algorithm source code

遗传算法的工具箱，好使！！！！！！可以解决问题-Genetic algorithm toolbox, so that! ! ! ! ! !

这是IBM公司使用的一个生成数据流的源文件代码，对需要生成数据流做实验的朋友很有帮助。-This is IBM" s use of a data stream generated source file code, on the need to generate data flow experiment" s friends helpful.

Genetic Algorithm (GA) based solver for the Traveling Salesman Problem

1。《遗传算法的数学基础》，张文修、梁怡编着 西安交通大学出版社 2000年第一版 遗传算法（genetic algorithm）是模拟自然界生物进化过程与机制求解问题的一类自组织与自适应的人工智能技术，已广泛应用于计算机科学、人工智能、信息技术及工程实践。 本书重点在于阐述遗传算法的数学基础。全书共分3章，第1章给出了遗传算法的几何理论，第2章给出了遗传算法的马尔可夫链分析，第3章给出了遗传算法的收敛理论。 本书可以作为应用数学、计算机科学、系统科学等专业研究生的教材，也可以作为研究遗传算法的参考书。 -1. "Genetic Algorithm mathematical basis," Zhang Xiu, Yi Liang compile Xi"an Jiaotong University Press in 2000 the first edition of the genetic algorithm (genetic algorit hm) is a simulation of natural biological evolution process and mechanisms to solve the problem of a kind of self-organization and adaptive artificial intelligence technology, has been widely used in computer science, artificial intelligence, information technology, and engineering practice. The book focused on the genetic algorithm described math. The book is divided into three chapters, one chapter is a genetic algorithm of the geometric theory Chapter 2 of the genetic algorithm is a Markov chain analysis, presented in Chapter 3 of the geneti

一种很实用的SVM工具箱,具有较快的运算速度,有详细的使用说明和例子!-a very practical SVM Toolbox is faster computing speed, a detailed description and examples of use!

模糊ISODATA聚类分析，可以模糊矩阵数据进行聚类分析-Fuzzy ISODATA cluster analysis can be fuzzy matrix cluster analysis of data

这是一个银行模拟系统，对当今的银行进行模拟，它可以反映出银行的实际情况，非常有用哦，下来看看。-This is a simulation system banks, the Bank of today"s simulation, it can reflect the bank"s actual situation, a very useful Oh, look down.

标准tsai摄像机标定源代码。（两步标定）-standard camera calibration source. (Two-step calibration)

3个径向基网络的matlab源程序[matlab],一维输入，一维输出，逼近效果很好！-three RBF network Matlab source [Matlab], one-dimensional input and one-dimensional output. Approximation good effect!