Designing Templates for Cellular Neural Networks Using Particle Swarm Optimization
Hiram A. Firpi, Erik D. Goodman · 2005
Designing or learning of templates for cellular neural networks constitutes one of the crucial research problems of this paradigm. In this work, we present the use of a particle swarm optimizer, a global search algorithm, to design a template set for a CNN. A brief overview of the algorithms and methods is given. Design of popular templates is performed using the search algorithm described.