Proposal for training a Cellular Neural Network using a Hybrid Artificial Bee Colony and Nelder-Mead Algorithms

In this work, we propose a methodology for training a Cellular Neural Network based on the Artificial Bee Colony Algorithm and the Nelder-Mead Algorithm. The results of this proposal are compared with training using only the Artificial Bee Colony algorithm and with the Nelder-Mead algorithm, also with related works. The Cellular Neural Network is directed and trained for image processing, and the selected tasks for the performance evaluation of the Cellular Neural Network are edge detection and noise remover.