搜索资源列表
Ggabpzipe
- 遗传算法优化BP神经网络的权权值的matlab程序源代码。 -BP neural network genetic algorithm to optimize weight weights matlab program source code.
GA-BP
- 一个带数据的遗传优化神经网络算法,运行前在matlab输入A=load(D:\数据.txt) -A data genetic optimization of neural network algorithm, before running in MATLAB input A=load (D:\ data.Txt)
genetic--BP-weights-and-threshold
- 利用遗传算法优化BP神经网络权值和阈值的matlab-The use of genetic algorithm to optimize BP neural network weights and threshold
GABPMain
- 基于遗传算法的BP神经网络优化算法的MATLAB代码,用遗传算法优化BP网络计算。-BP neural network based on genetic algorithm (ga) optimization algorithm of MATLAB code, and use genetic algorithm to optimize BP network computing
GA-BP-matlab-socure-code
- matlab写的神经网络代码,其中含有遗传算法对神经网络的权值和阈值优化模块,解释比较详细,师兄的毕业设计部分代码-Written in Matlab neural network code, which contains the genetic algorithm of neural network weights and threshold optimization module, a more detailed explanation, senior graduation design p
liefeiming
- BP神经网络的整个训练过程,一些自适应信号处理的算法,用MATLAB编写的遗传算法路径规划。- The entire training process BP neural network, Some adaptive signal processing algorithms, Genetic algorithms using MATLAB path planning.
MATLAB遗传算法
- 遗传算法和非线性规划的函数寻优,BP神经网络优化(Genetic algorithm and nonlinear programming function optimization, BP neural network optimization)
genetic
- 遗传+bp神经网络 MATLAB 实例求解 可以运行(Genetic +bp neural network MATLAB instance solution, you can run)
关于用遗传算法改进BP神经网络的MATLAB实现
- 在MATLAB中用遗传算法改进BP神经网络(Improvement of BP neural network by genetic algorithm in MATLAB)
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)
GABP
- matlab实现的遗传算法改进的BP神经网络(BP neural network improved by genetic algorithm implemented by MATLAB)
源代码
- 1 基于遗传算法的TSP算法(王辉) 2 基于遗传算法和非线性规划的函数寻优算法(史峰) 3 基于遗传算法的BP神经网络优化算法(王辉) 4 设菲尔德大学的MATLAB遗传算法工具箱(王辉) 5 基于遗传算法的LQR控制优化算法(胡斐)(1 TSP algorithm based on genetic algorithm (Wang Hui) 2 Function optimization algorithm based on genetic algorithm and non
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
BPGA代码
- 利用遗传算法实现BP人工神经网络的matlab代码,可用于matlab编程分析