1、内容简介

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549-可以交流、咨询、答疑

2、内容说明

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3、仿真分析

clc
close all
clear
data = xlsread('data(1).xlsx')';

numtrn = 250;
XTrain = inputData(:,1:numtrn);
YTrain = outputData(:,1:numtrn);
XValidation = inputData(:,numtrn+1:end);
YValidation = outputData(:,numtrn+1:end);

net = newff( minmax(XTrain) , [8 16 32 hour] , {'tansig','tansig','tansig','tansig','purelin'} , 'trainlm' ) ; 

%设置训练参数
net.trainparam.show = 50 ;
net.trainparam.epochs = 300 ;
net.trainparam.goal = 0.00001 ;
= 0.01 ;

%开始训练
% net = train( net, XTrain, YTrain) ;
net = train( net, input, output) ;

神经网络用电量一周预测一天_深度学习

 

4、参考论文

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