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Design of Waveguide Structures Using Improved Neural Networks

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posted on 2018-01-10, 05:59 authored by Chahrazad Erredir, Mohamed Lahdi Riabi, Halima Ammari, Emir Bouarroudj

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.

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    Journal of Microwaves, Optoelectronics and Electromagnetic Applications

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