搜索资源列表
PSO优化BP神经网路
- 已经调试过的用PSO算法优化BP神经网络,取得较好的效果
GANN_sinF
- 遗传算法优化bp神经网络,神经网络为三层网络,遗传算法带有精英保留策略-genetic algorithm optimization bp neural networks, neural networks as a three-tier networks, genetic algorithms with a strategy to retain the elite
BP
- 基于visual basic的遗传算法优化BP神经网络权值源程序-visual basic
利用遗传算法优化BP神经网络权值和阈值
- 利用遗传算法优化BP神经网络权值和阈值,内含程序和m文件(Using genetic algorithm to optimize BP neural network weights and thresholds, containing procedures and M files)
chapter3基于遗传算法的BP神经网络优化算法
- 用遗传算法去优化BP神经网络,使控制更加精准(Genetic algorithm is used to optimize BP neural network)
遗传算法优化BP神经网络-非线性函数拟合
- 遗传算法优化BP神经网络-非线性函数拟合(Genetic algorithm optimization BP neural network nonlinear function fitting)
PSO-bp((matlab
- 实现粒子群算法优化BP神经网络的预测算法(Particle swarm optimization algorithm to optimize the BP neural network prediction algorithm)
用遗传算法优化BP神经网络的Matlab编程实例
- 用遗传算法优化BP神经网络的Matlab编程实例,非常实用(BP neural network optimization using genetic algorithm Matlab programming examples, very practical)
遗传算法优化BP神经网络用于非线性函数拟合
- 遗传算法优化的bp神经网络用于非线性函数的拟合。(BP neural network optimized by genetic algorithm for nonlinear function fitting.)
PSO优化BP神经网络 MATLAB版本2016a
- PSO优化BP神经网络 MATLAB版本2016a PSO优化BP神经网络的权值和阈值 有详尽的注释 并结合2016a的新版本函数特性,优化了算法(PSO optimization BP neural network MATLAB version 2016a PSO optimization BP neural network weights and thresholds Detailed comments and combined w
遗传算法优化BP神经网络预测彩票实现代码
- BP神经网络彩票预测MATLAB代码,遗传算法优化BP神经网络预测彩票实现代码(MATLAB Code for Prediction of Neural Networks based on BP Neural Networks)
遗传算法优化BP神经网络-非线性函数拟合
- 遗传算法优化BP神经网络-非线性函数拟合(Genetic algorithm optimizes BP neural network nonlinear function fitting)
鱼群优化BP神经网络
- 利用鱼群算法优化BP神经网络权值,该代码可以直接运行。(Fish swarm algorithm is used to optimize the weight of BP neural network, and the code can run directly.)
粒子群优化算法优化BP神经网络的源代码
- 粒子群优化算法优化BP神经网络的源代码,基础的值得参考下(Particle swarm optimization algorithm to optimize the source code of BP neural network)
基于遗传算法优化BP神经网络的非线性预测
- 针对BP神经网络的初始权值和阈值是随机选取的弊端,采用遗传算法寻优BP的初始权值和阈值,然后进行BP训练和测试。遗传算法包括编码 选择 交叉 和变异等操作(Aiming at the disadvantage that the initial weights and thresholds of BP neural network are randomly selected, genetic algorithm is used to op
遗传算法优化的BP神经网络
- 遗传算法优化BP 神经网络是用遗传算法来优化BP 神经网络的初始权值和阔值,使优化 后的BP 神经网络能够更好地预测函数输出。遗传算法优化BP 神经网络的要素包括种群初 始化、造应度函数、选择操作、交叉操作和变异操作。(Genetic algorithm optimizes BP neural network by using genetic algorithm to optimize the initial weight and
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)
GA & PSO+BP
- 遗传算法与粒子群算法优化BP,有较好的分类效果(BP optimization based on Genetic Algorithm and particle swarm optimization)
6退火遗传算法优化BP神经网络的研究
- 退火算法优化BP神经网络的研究,介绍了一种新的方法(Annealing algorithm to optimize BP neural network)
麻雀搜索算法(SSA)优化bp网络
- 较新的优化算法,麻雀算法优化BP神经网络权值与阈值;(the key parameters of BP are choosed automatically by Sparrow Search Algorithm.)