多输入多输出 | MATLAB实现GWO-Elman灰狼优化循环神经网络多输入多输出预测

多输入多输出 | MATLAB实现GWO-Elman灰狼优化循环神经网络多输入多输出预测

预测效果

基本介绍

Matlab实现GWO-Elman灰狼优化循环神经网络多输入多输出预测
1.data为数据集，10个输入特征，3个输出变量。
2.main.m为主程序文件。

程序设计

• 完整程序和数据下载方式私信博主回复：Matlab实现GWO-Elman灰狼优化循环神经网络多输入多输出预测。

%--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
%%  清空环境变量
warning off             % 关闭报警信息
close all               % 关闭开启的图窗
clear                   % 清空变量
clc                     % 清空命令行
%--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
%%  导入数据
res = xlsread('data.xlsx');
%-------------------------------------------------------------
%%  数据归一化
[p_train, ps_input] = mapminmax(P_train, 0, 1);
p_test = mapminmax('apply', P_test, ps_input);
%--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
[t_train, ps_output] = mapminmax(T_train, 0, 1);
t_test = mapminmax('apply', T_test, ps_output);
%--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
%%  仿真测试
t_sim1 = sim(net, p_train);
t_sim2 = sim(net, p_test );
%--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
%%  数据反归一化
T_sim1 = mapminmax('reverse', t_sim1, ps_output);
T_sim2 = mapminmax('reverse', t_sim2, ps_output);

往期精彩

MATLAB实现RBF径向基神经网络多输入多输出预测
MATLAB实现BP神经网络多输入多输出预测
MATLAB实现DNN神经网络多输入多输出预测

参考资料

[1] https://blog.csdn.net/kjm13182345320/article/details/126864256
[2] https://blog.csdn.net/kjm13182345320/article/details/126019698
[3] https://blog.csdn.net/kjm13182345320/article/details/125237445