2 inputs data training for ANN
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I am creating a neural network in MATLAB. My system has 2 inputs and the output is based on the 2 input values.
How do I define the inputs and feed them into the network?
The input 1 is array with 56 values and input 2 is also an is array with 56 values, how do I correctly define both inputs? And then how do I feed them into the network? The output value is also an array with 56 values.
Also, how many hidden layers are suitable for such model?
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Sam Chak
2022-6-9
For a shallow neural net, you can try something like this:
X = [1.0000 0.9019 0.6952 0.4712 0.2781 0.1341 0.0394 -0.0141 -0.0381 -0.0432 -0.0381 -0.0289 -0.0193 -0.0112 -0.0052 -0.0014 0.0008 0.0017 0.0019 0.0016 0.0012;...
0 -0.3438 -0.4529 -0.4273 -0.3396 -0.2368 -0.1445 -0.0736 -0.0257 0.0024 0.0158 0.0197 0.0181 0.0142 0.0097 0.0058 0.0029 0.0009 -0.0002 -0.0007 -0.0009];
T = [-1.0000 -0.4157 -0.0546 0.1331 0.2022 0.2009 0.1649 0.1183 0.0745 0.0398 0.0157 0.0011 -0.0063 -0.0089 -0.0086 -0.0069 -0.0049 -0.0030 -0.0016 -0.0006 0.0000];
net = feedforwardnet(10);
net = configure(net, X, T);
[net, tr] = train(net, X, T);
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