19-24.txt

小波神经网络对短期电力负荷的预测

P=[0.432675753	0.312968277	0.771381317	0.591132632	0.341268133	0.798820341	0.319544078	0.51089391	0.577761836	0.830679101	0.254822254	0.328387534	0.1004;
0.31742388	0.73859796	0.334516978	0.765706201	0.356671449	0.658787661	0.543272358	0.263095807	0.827287582	0.500655587	0.472851905	0.50260043	0.1009;
0.282010202	0.7088315	0.376032201	0.739785589	0.341471385	0.776562251	0.416435517	0.242455763	0.858301451	0.713570062	0.321337478	0.222337797	0.0983;
0.397951538	0.457261278	0.582101865	0.803993305	0.200992348	0.76610872	0.433273553	0.392611191	0.671704129	0.749956161	0.310007174	0.433365216	0.0968]';
T=[0.31742388	0.73859796	0.334516978	0.765706201	0.356671449	0.658787661	0.543272358	0.263095807	0.827287582	0.500655587	0.472851905	0.50260043;
0.282010202	0.7088315	0.376032201	0.739785589	0.341471385	0.776562251	0.416435517	0.242455763	0.858301451	0.713570062	0.321337478	0.222337797;
0.397951538	0.457261278	0.582101865	0.803993305	0.200992348	0.76610872	0.433273553	0.392611191	0.671704129	0.749956161	0.310007174	0.433365216;
0.44504623	0.459692332	0.600470269	0.742659015	0.341056911	0.459142356	0.710238323	0.330101227	0.600912641	0.871066475	0.175366651	0.609317711]';
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=[0.44504623
	0.459692332
	0.600470269
	0.742659015
	0.341056911
	0.459142356
	0.710238323
	0.330101227
	0.600912641
	0.871066475
	0.175366651
	0.609317711
	0.0996];
Out=sim(net,P_test);