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

目录

• • 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
    • 程序设计
    • 往期精彩
    • 参考资���

      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