Design of Waveguide Structures Using Improved Neural Networks
Erredir, Chahrazad, Riabi, Mohamed Lahdi, Ammari, Halima, Bouarroudj, Emir
J. Microw. Optoelectron. Electromagn. Appl.
DATA DE PUBLICAÇÃO
Abstract In this paper, an improved neural networks (INN) strategy is proposed to design two waveguide filters (Pseudo-elliptic waveguide filter and Broad-band e-plane filters with improved stop-band). INN is trained by an efficient optimization algorithm called teaching–learning-based optimization (TLBO). To validate the effective of this proposed strategy, we compared the results of convergence and modeling obtained with a population based algorithm that is widely used in training NN namely Particle Swarm Optimization (PSO-NN). The results show that the proposed INN has given better results.