How can I feed the outputs of a predict block back into its inputs?

9 views (last 30 days)
Hello all,
I would like to return the outputs of a Predict block to its input in Simulink. In the Predict block I use a neural network of type DLNetwork, which is forward directed (not recursive). As input format I use 'CT'. The network expects 5 inputs and gives 2 outputs. If I do not feed back the inputs, everything works. Here is a minimal example:
But when I feed back the inputs, I get the following error messages:
  • Layer 'Input': Invalid input data. Invalid size of channel dimension. Layer expects input with channel dimension size 5 but received input with size 1. Function 'Predict1/MLFB' (#1113.64.309), line 2, column 19: "deep.blocks.internal.deepNetwork({in_1}, {size(in_1)}, {class(in_1)}, coder.cons" Launch diagnostic report.
  • 'untitled1/Predict1/MLFB' or the model referenced by it contains a block that updates persistent or state variables while computing outputs and is not supported in an algebraic loop. It is in an algebraic loop with the following blocks.
How do I manage in Simulink to return the outputs of the Predict block without getting an error?
Many thanks in advance.
teasy on 13 Jan 2022
What is a Summer junction? I only use mux and demux blocks. These should be suitable for my operation according to the documentation.

Sign in to comment.

Answers (0)


Find more on Sequence and Numeric Feature 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!