matlab的narx的使用,神经网络工具箱NARX网络训练好之后，该怎么预测，具体如下...

原始数据中  x_t为降雨  y_t为R26-3水位，知道2015年降雨我要预测该年水位，网络训练代码如下：   请问要预测接下来怎么做?  怎么编写接下来的编码？？

X = tonndata(x_t,false,false);

T = tonndata(y_t,false,false);

trainFcn = 'trainbr';  % Bayesian Regularization

inputDelays = 1:2;

feedbackDelays = 1:2;

hiddenLayerSize = 10;

net = narxnet(inputDelays,feedbackDelays,hiddenLayerSize,'open',trainFcn);

[x,xi,ai,t] = preparets(net,X,{},T);

net.divideParam.trainRatio = 80/100;

net.divideParam.valRatio = 10/100;

net.divideParam.testRatio = 10/100;

[net,tr] = train(net,x,t,xi,ai);

y = net(x,xi,ai);

e = gsubtract(t,y);

performance = perform(net,t,y)

view(net)

netc = closeloop(net);

netc.name = [net.name ' - Closed Loop'];

view(netc)

[xc,xic,aic,tc] = preparets(netc,X,{},T);

yc = netc(xc,xic,aic);

closedLoopPerformance = perform(netc,tc,yc)

nets = removedelay(net);

nets.name = [net.name ' - Predict One Step Ahead'];

view(nets)

[xs,xis,ais,ts] = preparets(nets,X,{},T);

ys = nets(xs,xis,ais);

stepAheadPerformance = perform(nets,ts,ys)

2016-2-29 14:12 上传

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原始数据