How to give multiple inputs to the train function of Neural Network?
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MathWorks Support Team
on 1 Sep 2017
Answered: Marcelo Olmedo
on 6 May 2020
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?
Accepted Answer
MathWorks Support Team
on 1 Sep 2017
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)
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More Answers (1)
Marcelo Olmedo
on 6 May 2020
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
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