abroad an A* algorithm demonstration, with the source code. As a very good refer...

neural network in C language

用BP网络实现对图像的边缘进行提取，本程序为演示程序，可以看到BP在应用中的效果-BP network of image edges extraction, the procedure for the demonstration program, we can see BP in the application of the results

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

不错的自组织神经网络算法，程序有注释。能运行，效果还行。-good self-organizing neural network algorithm, the procedure Notes. Can run, the results were OK.

使用遗传算法求解通信网链路容量和流量联合优化分配问题!-Communications network using genetic algorithm for solving the joint optimization of link capacity and flow allocation problem!

MCP(最大截问题)的模拟退火算法程序源码-MCP (the largest cut-off issues) of the simulated annealing algorithm program source

简单遗传算法(SGA)源程序-simple genetic algorithm (SGA) source

matlab 模拟退火算法simulated anealing 的工具箱-Matlab simulated annealing simulated anealing the Toolbox

小生境遗传优化源程序 具有非线性优化问题的解释-Niche Genetic optimization of source non-linear optimization problem

用matlab仿真的递推极大似然法辨识程序，可用来进行系统辨识，很好用-simulation using Matlab Recursive maximum likelihood method identification procedures, which can be used for system identification, good use