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To-predict
- matlab预测程序集合，适用于数学建模大赛，直接数据导入就可以用。包括灰色模型预测程序2个，gm10，greymodel，高斯混合模型mixture_of_gaussians，以及BP神经网络优化模型，遗传算法优化，Genetic，粒子群算法优化，PSO-Matlab to predict collection, suitable for mathematical modeling contest, data import can use directly. Including gray mo
abneticalgorithm
- 人工智能及神经网络的机器学习算法,经典的遗传算法,-Artificial intelligence and machine learning algorithm of neural network, the classic genetic algorithm (ga),
yiehanm
- 介绍有关GA遗传算法结合BP神经网络的经典文章及应用-About genetic algorithm GA combined with the classic articles and application of BP neural network
neuraowjtg
- About genetic algorithm GA combined with the classic articles and application of BP neural network
genetic-appndcation-application
- 介绍有关GA遗传算法结合BP神经网络的经典文章及应用-About genetic algorithm GA combined with the classic articles and application of BP neural network
drace-IDE
- 介绍有关GA遗传算法结合BP神经网络的经典文章及应用(About genetic algorithm GA combined with the classic articles and application of BP neural network)
671728345GA
- GA-BP neural network for matlab
Desktop
- The neural network，是十大经典算法之一，可以应用到很多领域以作寻优(Genetic algorithm (ga), is one of the top ten classic algorithms,Can be applied to many areas for optimization)
GA_Test
- 这是用于遗传神经网络的matlab代码, 代码里面详细表述了怎么样建立BP神经网络的GA优化方法(this is the code for GA based BP neural network)
global p
- GA优化BP神经网络初始权值，阈值，从而增强其鲁棒性(GA optimizes the initial weights and thresholds of BP neural network, thereby enhancing its robustness.)
gaann
- 遗传算法优化的神经网络代码，添加数据文件，更改输入输入参数，可直接运行(artificial neural network optimized by ga)
遗传算法优化小波神经网络
- 本文件包含基本GA程序，小波神经网络程序，GA优化的小波神经网络程序(This paper contains basic GA program, wavelet neural network program and GA optimized wavelet neural network program.)
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
遗传算法优化BP神经网络
- GA算法优化BP神经网络的初始权值和阈值，提高神经网络的鲁棒性(GA algorithm optimizes the initial weights and thresholds of BP neural network to improve the robustness of neural network)