Design of Waveguide Structures Using Improved Neural Networks
Chahrazad Erredir
Mohamed Lahdi Riabi
Halima Ammari
Emir Bouarroudj
10.6084/m9.figshare.5772513.v1
https://scielo.figshare.com/articles/dataset/Design_of_Waveguide_Structures_Using_Improved_Neural_Networks/5772513
<div><p>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.</p></div>
2018-01-10 05:59:24
Improved neural networks
modeling
teaching–learning-based optimization
waveguide filters