免费asp公司网站模板,做网站制作软件,我想做个门户网站怎么做,玩具网站建设策划书流程回归预测 | Matlab实现MPA-BP海洋捕食者算法优化BP神经网络多变量回归预测 目录 回归预测 | Matlab实现MPA-BP海洋捕食者算法优化BP神经网络多变量回归预测效果一览基本介绍程序设计参考资料 效果一览 基本介绍 1.Matlab实现MPA-BP海洋捕食者算法优化BP神经网络多变量回归预测 2.数据集为excel输入7个特征输出1个变量运行主程序main.m即可其余为函数文件无需运行 3.优化参数为神经网络的权值和偏置命令窗口输出RMSE、MAPE、MAE、R2等评价指标 4.运行环境Matlab2018b及以上。 程序设计
完整程序和数据获取方式私信博主回复Matlab实现MPA-BP海洋捕食者算法优化BP神经网络多变量回归预测
function [Top_predator_fit,Top_predator_pos,Convergence_curve]MPA(SearchAgents_no,Max_iter,lb,ub,dim,fobj)Top_predator_poszeros(1,dim);
Top_predator_fitinf; Convergence_curvezeros(1,Max_iter);
stepsizezeros(SearchAgents_no,dim);
fitnessinf(SearchAgents_no,1);Preyinitialization(SearchAgents_no,dim,ub,lb);Xminrepmat(ones(1,dim).*lb,SearchAgents_no,1);
Xmaxrepmat(ones(1,dim).*ub,SearchAgents_no,1);Iter0;
FADs0.2;
P0.5;while IterMax_iter %------------------- Detecting top predator ----------------- for i1:size(Prey,1) Flag4ubPrey(i,:)ub;Flag4lbPrey(i,:)lb; Prey(i,:)(Prey(i,:).*(~(Flag4ubFlag4lb)))ub.*Flag4ublb.*Flag4lb; fitness(i,1)fobj(Prey(i,:));if fitness(i,1)Top_predator_fit Top_predator_fitfitness(i,1); Top_predator_posPrey(i,:);end end%------------------- Marine Memory saving ------------------- if Iter0fit_oldfitness; Prey_oldPrey;endInx(fit_oldfitness);Indxrepmat(Inx,1,dim);PreyIndx.*Prey_old~Indx.*Prey;fitnessInx.*fit_old~Inx.*fitness;fit_oldfitness; Prey_oldPrey;参考资料 [1] https://blog.csdn.net/kjm13182345320/article/details/129036772?spm1001.2014.3001.5502 [2] https://blog.csdn.net/kjm13182345320/article/details/128690229
