Social-Spider Optimization Neural Networks for Microwave Filters Modeling

Abstract : In this paper, Social-Spider optimization (SSO) algorithm is proposed for training artificial neural networks (ANN). Further, the trained networks are tested on two microwave filters modeling (Broad-band E-plane filters with improved stop-band and H-plane waveguide filters considering rounded corners). To validate the effectiveness of this proposed strategy, we compared the results of convergence and modeling obtained with the results obtained by NN used a population based algorithm namely Particle Swarm Optimization (PSO-NN). The results prove that the proposed SSO-NN method has given better results.
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Submitted on : Tuesday, November 6, 2018 - 5:04:37 PM
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Erredir Chahrazad, Emir Bouarroudj, Mohamed Riabi. Social-Spider Optimization Neural Networks for Microwave Filters Modeling. Abdelmalek Amine; Malek Mouhoub; Otmane Ait Mohamed; Bachir Djebbar. 6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), May 2018, Oran, Algeria. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-522, pp.364-372, 2018, Computational Intelligence and Its Applications. 〈10.1007/978-3-319-89743-1_32〉. 〈hal-01913878〉

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