Can a model from the machine learning app be turned into an FMU?
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Damon Delorenzis
on 9 Sep 2020
Commented: Hiro Yoshino
on 29 Sep 2022
I'm starting to learn to use the machine learning app and wondering if it's possible to turn a model created by that app into a FMU for use in ADAMS. Anyone have experience with this?
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Hiro Yoshino
on 9 Sep 2020
I do not have any experiences but it sounds quite feasible.
Step1. train ML model
Step2. call the model from Simulink
Step3. Simulink --> FMU
You should note that not all of the ML models are compatible with Simulink. Looks like SVM can be used in Simulink.
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sam l
on 28 Sep 2022
Hello I am working on similar project to create FMU from ML code.
But since the Mdl I created was Neural network - NARX and LSTM . How do I use above to export as FMU
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1139455/image.png)
Hiro Yoshino
on 29 Sep 2022
@sam l - May I know your MATLAB version?
As the error message said, the saved model is incompatible with the saveLearnerForCoder function.
The object you created is "network object" from shallow network. (https://www.mathworks.com/help/deeplearning/ref/network.train.html)
The simulink block that takes a LSTM neural network model is Stateful predict block. Unfortunately this does not take the one you created. You should trian LSTM models as seriesnetwork, dagnetwork, dlnetwork.
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