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nn+ga+sa+fuzzy
- 本文介绍了nn+ga+sa+fuzzy等算法的总结性的东西,对于这些算法有初步认识,很有帮助-nn sa ga fuzzy algorithms such as a summary of things, these algorithms have an initial understanding and helpful
The-Multi-user-Detection-ALGORITHM
- 联合智能(JI-MUD)多用户检测算法是由粒子群优化(PSO)算法,遗传算法(GA)和模拟退火(SA)算法-the joint intelligent multi-user detection (JI-MUD) algorithm which was composed by particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and simulated annealing (SA) algorithm was p
tsp
- SA、GA、PSO解决TSP问题的C++源代码-SA, GA, PSO to solve the TSP problem. C++
Common-GA-SA-MATLAB
- 通用遗传模拟退火算法的MATLAB程序。Common genetic simulated annealing algorithm for MATLAB。-Common genetic simulated annealing algorithm for MATLAB。
遗传模拟退火算法
- 介绍了遗传算法和退火算法的结合使用,提高了GA本身的性能(introduce a method combine GA with SA to make a difference to GA)
神经网络入门13课源码
- 神经网络入门13课源码 第一课 MATLAB入门基础 第二课 MATLAB进阶与提高 第三课 BP神经网络 第四课 RBF、GRNN和PNN神经网络 第五课 竞争神经网络与SOM神经网络 第六课 支持向量机( Support Vector Machine, SVM ) 第七课 极限学习机( Extreme Learning Machine, ELM ) 第八课 决策树与随机森林 第九课 遗传算法( Genetic Algorithm, GA ) 第十课 粒子群优化( Part
SA
- SA GA PSO等算法及改进的算法,以及Griewank 函数的matlab代码(SA GA PSO algorithm and improved algorithm, as well as the matlab code of Griewank function)