Question

我已经在MATLAB中使用以下代码训练了NARX网络。我想从新输入（testX）和目标（testY）测试训练有素的网络。但是我在最后一行中得到错误forecastLoad = sim（net，testX＆＃ 39）＆＃39 ;;

 X = tonndata(trainX,false,false);
 T = tonndata(trainY,false,false);

 inputSeries = X;

 targetSeries = T;

% Create a Nonlinear Autoregressive Network with External Input
 inputDelays = 1:3;
feedbackDelays = 1:3;
hiddenLayerSize = 20;
net = narxnet(inputDelays,feedbackDelays,hiddenLayerSize);

% Prepare the Data for Training and Simulation
% The function PREPARETS prepares time series data 

[inputs,inputStates,layerStates,targets] = ... 
    preparets(net,inputSeries,{},targetSeries);

% Set up Division of Data for Training, Validation, Testing
net.divideParam.trainRatio = 70/100;
net.divideParam.valRatio = 15/100;
net.divideParam.testRatio = 15/100;

% Train the Network
[net,tr] = train(net,inputs,targets,inputStates,layerStates);
%% 

% Test the Network
outputs = net(inputs,inputStates,layerStates);
errors = gsubtract(targets,outputs);
MAE = mae(errors);


 %Test on new data
  forecastLoad = sim(net, testX')';
  error = testY-forecastLoad;

Answer 1

看看Matlab测试数据线：

% Test the Network
outputs = net(inputs,inputStates,layerStates);

为什么不以同样的方式输入数据？让我们这样做：

% Prepare first the data.

[inputs,inputStates,layerStates,targets] = ... 
     preparets(net,textX,{},testY);
% And then predict.
forecastLoad = net(inputs,inputStates,layerStates);

在NARX网络MATLAB中测试新数据

1 个答案: