DESIGN OF WAVEGUIDE STRUCTURES USING IMPROVED NEURAL NETWORKS
Keywords:Improved neural networks, modeling, teaching–learningbased optimization, waveguide filters
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 teachingâ€“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 namelyÂ Particle Swarm OptimizationÂ (PSO-NN).Â The results prove that the proposed INN has given better results.
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