Design of Waveguide Structures Using Improved Neural Networks

Charazad Erredir, Mohamed Lahdi Riabi, Halima Ammari, Emir Bouarroudj


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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