Clear Filters
Clear Filters

How to implement SeriesNetwork in Simulink (Deep Learning)

3 views (last 30 days)
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?

Answers (1)

Krishna
Krishna on 30 May 2024
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,
Hope this helps.

Categories

Find more on Image Data Workflows in Help Center and File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!