how to use the parameters of neural network in simulink?

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Ahmad Al-Issa
Ahmad Al-Issa 2024-7-6
评论： Ahmad Al-Issa 2024-7-9
Hello all, @Sam Chak @Stephen23 @Paul
I trained a neural network dpending on two inputs (T and p) to predect density.
Now I have the best parameters to predect density using this code:
density = model (parameters, p, T);
Plese note that I have a simulink model with the time-step is 0.001 s, the problem is how to use this parameters of the NN in the Simulink model.
input are: p and T
output is: density
time-step is 0.001
Best regards, Ahmad

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回答（1 个）

Sam Chak
Sam Chak 2024-7-7
Hi @Ahmad Al-Issa
If you want to implement a trained neural network in Simulink to predict the Desity based on two inputs (p, T), then use the Predict block.
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Sam Chak
Sam Chak 2024-7-8
Hi Ahmad,
Thanks for your update. This error message is strange because the fullyconnect() function is supported in the MATLAB Function block according to the list below. Will need some time to figure this out.
https://www.mathworks.com/help/referencelist.html?type=function&capability=codegen
Ahmad Al-Issa
Ahmad Al-Issa 2024-7-9
Hello @Sam Chak
Thank you for assistent me.
The problems as follow:
1- the matlab function block does not work with dlarray
2- fullyconnect generate data in dlarray
3- Sigmoid function generate data in dlarray
The solution is to reproduce all (weights and bias) in double array
not using fullyconnect but writing code of matrix insteade.
not using Sigmoid function but writing the equation of it insteade.
Best regards, Ahmad

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