Cellular Neural Network learning using Multilayer Perceptron

Using the adequate number of Multilayer Perceptron input, hidden and output layers, the Cellular Neural Network dynamic behavior, when the system converges to a fixed-point, can be reproduced by a Multilayer Perceptron with restrictions. A Multilayer Perceptron can then be defined in order to act as a two neuron Cellular Neural Network and vice-versa. From this, we combine their properties in order to overcome the CNN learning problem.