How to give multiple inputs to the train function of Neural Network?

I am creating a neural network in MATLAB and am trying to feed it multiple inputs. How do I define the inputs and feed them into the network? If input 1 is some matrix of numbers and input 2 is another matrix of numbers, how do I correctly define both inputs? And then how do I feed them into the network?

For example, if I do "train(net,input,target)", then how do I send all of the inputs? 

Also, how do I connect both the input blocks to the network?

Answer 1

[MathWorks Support Team]

Consider the following examples:

Given two inputs, x1 and x2 - You can create a cell array, x which can be then passed to the "train" function.

x1 =  [4 5 6];
x2 =  [0 1 0];
x = {x1;x2};
t = [0 0 1];
net = feedforwardnet;
net.numinputs = 2;
net = configure(net,x);
net = train(net,x,t);
view(net)

For both the input blocks to be connected to the neural network, there are multiple ways depending on the architecture you require:

You can connect the inputs to the network by altering the "inputConnect" property of the neural network as below:

x1 =  [4 5 6];
x2 =  [0 1 0];
x = {x1;x2};
t = [0 0 1];
net = feedforwardnet;
net.numinputs = 2;
net.inputConnect = [1 1; 0 0];
net = configure(net,x);
net = train(net,x,t);
view(net)

 or

x1 =  [4 5 6];
x2 =  [0 1 0];
x = {x1;x2};
t = [0 0 1];
net = feedforwardnet;
net.numinputs = 2;
net.inputConnect = [1 0; 0 1];
net = configure(net,x);
net = train(net,x,t);
view(net)

Answer 2

[Marcelo Olmedo]

Hello! Attached example taking data from a specific range in an Excel file. The key is in the input data composition. I hope it works. Cheers