How to implement SeriesNetwork in Simulink (Deep Learning)

Question

Patrick Haffmans 2021-2-18

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/749617-how-to-implement-seriesnetwork-in-simulink-deep-learning

回答： Krishna 2024-5-30

I followed this youtube video to implement a neural network trained using trainNetwork in simulink.

The neural network takes in a 1x13 vector and ouputs a 1x13 vector (It is meant to be an autoencoder). There is a zero hold block with a sample time of 20s.

Following the predict block method, I got this size mismatch error.

Following the MATLAB function implementation,

function reg = output(u)
persistent network;
if isempty(network)
    network = coder.loadDeepLearningNetwork('autoenc.mat','myautoenc');
end
reg = network.predict(u');
end

I get this error:

How do I fix this?

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Answer 1

Krishna 2024-5-30

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https://ww2.mathworks.cn/matlabcentral/answers/749617-how-to-implement-seriesnetwork-in-simulink-deep-learning#answer_1465346

Hey Patrick,

Given that you're working on modeling a series network, I'm under the impression you're employing a Recurrent Network. It might be more effective to utilize a stateful predict rather than the regular predict block. This is because stateful predict blocks are specifically designed to handle sequence information in the time domain, which is a key characteristic of recurrent networks.

Please go through the following documentation to learn more,

https://in.mathworks.com/help/deeplearning/ref/statefulpredict.html

Hope this helps.