It is possible to implement a LSTM neural network built with Keras Python in a Simulink block?

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Alessandro Gianfrate 2017-10-9

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回答： Arkadiy Turevskiy 2021-10-18

Hello!

I have a LSTM neural network (for time series prediction) built in Python with Keras. So I have the model (structure and weights) in .h5 file.

It is possible to implement a LSTM neural network built with Keras Python in a Simulink block?

I would to create a simulink file that takes in input 2 signals and passing through the NN block , gives me as output the predicted signal.

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Szabolcs Mike 2019-5-6

Same question here too! I would like to use a LSTM prediction model trained with keras in Simulink. I can import the model to Matlab workspace, but not able to use it in a Matlab function block in Simulink!

Varoun Sitram 2020-3-30

I'm having this same problem. Have you found a solution?

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Answer 1

Oskar Karnblad 2018-1-11

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I'm also interested in this. Have you found a solution yet?

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ARUN 2021-2-21

anyone found answer for this? I am facing the same problem now

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Answer 2

Arkadiy Turevskiy 2021-10-18

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You can do it in two steps:

Import a model into MATLAB. See this function for TensrFlow 2 or this function to import from Keras.
Once you have imported the model, use Stateful Predict block. This block became available in 21a.

HTH.

Arkadiy