DESIGN OF WAVEGUIDE STRUCTURES USING IMPROVED NEURAL NETWORKS

Authors

  • Chahrazad Erredir
  • Mohamed Lahdi Riabi
  • Halima Ammari
  • Emir Bouarroudj

DOI:

https://doi.org/10.1590/2179-10742017v16i4960

Keywords:

Improved neural networks, modeling, teaching–learningbased optimization, waveguide filters

Abstract

In this paper, 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). The INN based in the efficient optimization method called teaching–learning-based optimization (TLBO). For validate effectiveness of this proposed strategy, we compared the results of convergence and modeling obtained with a population based algorithm which is widely used in training NN namely  Particle Swarm Optimization  (PSO-NN).  The results prove that the proposed INN has given better results.

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Published

2017-08-01

How to Cite

Chahrazad Erredir, Mohamed Lahdi Riabi, Halima Ammari, & Emir Bouarroudj. (2017). DESIGN OF WAVEGUIDE STRUCTURES USING IMPROVED NEURAL NETWORKS. Journal of Microwaves, Optoelectronics and Electromagnetic Applications (JMOe), 16(4), 900-907. https://doi.org/10.1590/2179-10742017v16i4960

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Section

Regular Papers