neuralnet function not working with more than one input

Hi

I've been trying to obtain a NARX model via neuralnet. The model has three inputs and one output.

z  = iddata(T, [X1 X2 X3], 0.1);

ff_net = feedforwardnet(5);

ff_net.numInputs = 3;

ff_net.inputs{1}.name = 'Current';
ff_net.inputs{2}.name = 'Temperature';
ff_net.inputs{3}.name = 'SOC';

ff_net.inputConnect = [1 1 1; 0 0 0];

ff_net.divideFcn = 'divideblock';
ff_net.divideParam.trainRatio = 0.4;
ff_net.divideParam.valRatio   = 0.3;
ff_net.divideParam.testRatio  = 0.3;

nonlinearity = neuralnet(ff_net);

Every time I try to run the script it gives me the error:

Error using neuralnet/set.Network (line 122)

The value of the "numInputs" property of the NETWORK object must be equal to 1.

Error in neuralnet (line 99)

this.Network = net;

leading me to assume it won't work with multiple inputs but how else can I do what I want?

Hope you understand me, I myself am very new to this area.

Cheers,

Lucas

edit: Perhaps it has something to do with the fact that Matlab doesn't know that eg. Current is X1. Is there a way to make the connection?

Answer 1

[Sahithi Kanumarlapudi]

neuralnet cannot be used to obtain NARX model in your case as you have multiple number of inputs.

narxnet can be used to obtain a NARX model.

Refer to narxnet documentation page here

Here is how you could obtain a NARX model

https://in.mathworks.com/help/deeplearning/ug/design-time-series-narx-feedback-neural-networks.html