Please re-frame your question.

The question  is how to characterize whether a multi-layer cellular

neural network is of deep architecture; namely, when can an n-layer

cellular neural network be replaced by an m-layer cellular neural network

for m < n yet still preserve the same output phenomena? From a

mathematical point of view, such characterization involves investigating

whether the topological structure of  multiple layers are conjugate.