Cellular Neural Network (CNN) Parallel Computing Model

Cellular Neural Network (CNN) is a parallel computing model closely resembling biological neural networks, featuring distinct communication mechanisms between adjacent nodes. In this implementation, Matrix A serves as the feedback template while Matrix B functions as the control template, governing local interactions and state transitions through weighted connections. The architecture supports parallel processing of grid-based data structures with neighborhood-based communication protocols.