Teaching Learning Based Optimization Neural Networks for Waveguide Filter Modeling

Type : Article de conférence
Auteur(s) :  Chahrazad Erredir, Mohamed Lahdi Riabi, Halima Ammari, Emir Bouarroudj
Année :  2016
Domaine : Sciences des matériaux
Conférence: 7th African Conference on Non Destructive Testing (ACNDT) & the 5th International Conference on NDT and Materials Industry and Alloys (IC-WNDT-MI)
Lieu de la conférence:  Oran, Algeria
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  neural networks, Teaching Learning Based Optimization, modeling, Waveguide Filter

Résumé : 

Artificial neural networks (ANN) provide fast and accurate models for the modeling, simulation, and optimization of microwave component. In this paper, an efficient optimization method, called teaching learning-based optimization (TLBO) is proposed for training artificial neural networks (ANN). Then, the trained networks are applied to modeling waveguide filter structures .The results obtained using teaching-learning based optimization neural networks (TLBO-NN) algorithms are validated by comparing them with those obtained using particle swarm optimization neural networks (PSO-NN).