How do I create a neural network that will give multiple input and outputs?

Hi I am trying to design a ffnn neural network. I have input data of 900x4, and I want to design with output data of 900x2. Here's how I designed it: But you can't assign function output to this expression. Error occurs.

How do you solve this?

clear all; close all; clc;
a = xlsread('input2.xlsx'); 
 [ I 4 ] = size(input)
 [ O 2 ] = size(target)
input = [a(:,3) a(:,4) a(:,5) a(:,6)]; 
target = [a(:,1) a(:,2)]; 
net = feedforwardnet(10);
net = train(net, input', target'); 
y = net(input);
perf = perform(net,y,target)

Answer 1

[Bhargavi Maganuru]

Inputs for the train should be R-by-Q matrix where R is input size and Q is batch size. Input size is 900x4 (Q- 900 and R-4) and target size is 900x2(Q-900 and R-2) in your case. So there is no issue with the below line

net = train (net, input', target');  

But the lines

y = net(input); 
perf = perform(net,y,target) 

will give you an error because sizes don’t match. You could try using transpose for both input and target.

y = net(input'); 
perf = perform(net,y,target'); 

Hope this helps!

Answer 2

[Greg Heath]

ALWAYS arrange your data so that

[ I N ] = size(input)

[ O N ] = size(output)

Hope this helps.

Greg

[Ray ptucha]

Greg, I noticed that you have answered this question online numerous times- thank you. However, your answer is terse. It would be great if you could post a simple example so that users can step through it. One good example is at:

https://www.mathworks.com/help/deeplearning/ug/train-network-with-multiple-outputs.html

but requires 2020b, which most readers probably don't have yet...

Thank you.