7-12.txt

小波神经网络对短期电力负荷的预测

P=[0.428383978	0.563812155	0.660220994	0.715331492	0.754765193	0.762430939	0.781077348	0.812914365	0.822651934	0.819198895	0.830041436	0.853245856	0.1004;
0.533287293	0.670372928	0.767127072	0.819060773	0.856146409	0.861187845	0.873687845	0.896132597	0.89378453	0.874654696	0.868922652	0.874723757	0.1009;
0.550276243	0.705593923	0.816367403	0.877417127	0.921892265	0.930870166	0.946823204	0.972375691	0.969820442	0.947859116	0.943093923	0.953729282	0.0983;
0.660013812	0.808356354	0.906422652	0.948273481	0.969337017	0.949240331	0.93308011	0.923549724	0.880179558	0.812223757	0.78031768	0.784875691	0.0968]';
T=[0.533287293	0.670372928	0.767127072	0.819060773	0.856146409	0.861187845	0.873687845	0.896132597	0.89378453	0.874654696	0.868922652	0.874723757;
0.550276243	0.705593923	0.816367403	0.877417127	0.921892265	0.930870166	0.946823204	0.972375691	0.969820442	0.947859116	0.943093923	0.953729282;
0.660013812	0.808356354	0.906422652	0.948273481	0.969337017	0.949240331	0.93308011	0.923549724	0.880179558	0.812223757	0.78031768	0.784875691;
0.559944751	0.663604972	0.735635359	0.772237569	0.797859116	0.798687845	0.805593923	0.820649171	0.816505525	0.799654696	0.799516575	0.815331492]';
threshold=[0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1;0 1];
net=newff(threshold,[27,12],{'tansig','logsig'},'trainlm');
net.trainParam.epochs=1000;
net.trainParam.goal=0.01;
LP.lr=0.1;
net=train(net,P,T);

P_test=[0.559944751
	0.663604972
	0.735635359
	0.772237569
	0.797859116
	0.798687845
	0.805593923
	0.820649171
	0.816505525
	0.799654696
	0.799516575
	0.815331492
	0.0996];
Out=sim(net,P_test);