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

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.

[VBBV]

Use of summer junction for first 2 signals causes the signals to be nullified making it essentially same as without signal.

Delete the summer junction and attach them using a different bus connector

[teasy]

What is a Summer junction? I only use mux and demux blocks. These should be suitable for my operation according to the documentation.