Akademik Veri Yönetim Sistemi
Applied Computational Electromagnetics Society Journal, cilt.36, sa.11, ss.1453-1459, 2021 (SCI-Expanded, Scopus)
Many design optimization problems havehigh-scale problems that require the use of a fast, effi-cient, accurate, and reliable model. Recently, artificial-intelligence-based models have been used in the fieldof microwave engineering to model complex microwavestages. Here, an eight-layer symmetrical microstrip low-pass filter (LPF) is modeled using a multi-layer per-ceptron (MLP) with reduced data with Latin hypercubesampling. It is used to obtain target−test relationships inthe MLP model along the frequency band whose electri-cal length in each layer determines the performance ofthe microstrip filter. Electrical length lower and upperlimits were preferred in the widest range. The studypresents the design and analysis of a non-uniform sym-metrical microstrip LPF with a cutoff frequency of 2.4GHz. Next, different network models are compared tofind the variation of the non-uniform microstrip LPFaround 2.4 GHz along the specified frequency band S11and S22(dB) for different electrical lengths. It has beenobserved that the network models of the microstrip LPFare both more computationally efficient and as accurateand reliable as the electromagnetic simulator.