Optimizing Opto-Electronic Cellular Neural Networks Using Bees Swarm Intelligent

Abstract

This paper presents an application of Bees algorithm to the optimization of cellular neural network for opto-electronics design, where cellular neural networks bees are a large – scale nonlinear analog circuit which processes signals in real time. It is made of massive cells, which communicate with each other directly onlythrough its nearest neighbors. Each bee cell is made of a linear capacitor, a nonlinear voltage controlled current source, and a few resistive linear circuit elements with photo diode and photo-detector for connections. In this paper application of bee cellular neural networks in pattern recognition is presented with its opto-electronic circuit design. It is found the real opto-electronic arrays, with alltheir deficiencies are able to learn and perform various processing tasks well.