"Modelling diffusion of innovation using Cellular Neural Network approach"
CNNs have been traditionally used for pattern recognition. This paper shows that Cellular Neural Networks (CNNs) constitute a powerful new paradigm for modeling complex systems. We argue that diffusion of innovation can be modeled by using CNNs and that the results obtained are consistent with previous Cellular Automata-based simulations. The CNN approach can be generalized to model more complex problems.