About Multi-Layer Adoption of Code Design

[BDOGDU]

Hello Mr. Laradji,

First of all, let me introduce myself. My name is Batuhan from Turkey. I am studying as M.Sc. student on Material Science & Engineering Department. My thesis topic is "Composition Optimization of Nb-included Al7SiMg alloy with ANN" even though I haven't experienced on ANN on Python. My experiment case is:

Inputs:
1- %Niobium amount (%0.005 for ex.)
2-%Titanium amount (%0.01 for ex.)
3-% Boron amount(%0.004 for ex.)

Outputs:
1-Yield Strength (190 MPa for ex.)
2-Tensile Strength (250 MPa for ex.)
3- % elongation (%5.4 for ex)

I will cast and obtain some of tensile test results from casting specimen with random Nb,Ti and B addition as test data. My aim is to train the algorithm with these test data and obtain a optimization function with >95 R^2 data.

How would I adopt your code into multi-output ANN model with same procedure? I cannot comprehend correctly how to put them into your open-source coding design. I would be pleased If you can help on this issue. As enthusiastic student, I would like to learn how to shed light on that kind of structure.
DIY ANN.zip

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