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neuralnet function not working with more than one input

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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.
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?

Accepted Answer

Sahithi Kanumarlapudi
Sahithi Kanumarlapudi on 25 Jul 2019
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

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