Designing high-performance microstrip quad-band bandpass filters (for multi-service communication systems): a novel method based on artificial neural networks

• Published in: Neural computing & applications Vol. 34; no. 10; pp. 7507 - 7521
• Main Authors: Rezaei, Abbas, Yahya, Salah I., Noori, Leila, Jamaluddin, Mohd Haizal
• Format: Journal Article
• Language: English
• Published: London Springer London 01.05.2022; Springer Nature B.V
• Subjects: Artificial Intelligence; Artificial neural networks; Back propagation networks; Bandpass filters; Communication; Communications systems; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Data Mining and Knowledge Discovery; Design; Diplexers; Electronic filters; Group delay; Image Processing and Computer Vision; Insertion loss; Microstrip devices; Multilayer perceptrons; Neural networks; Original Article; Parameters; Probability and Statistics in Computer Science; Selectivity; Simulation; Spirals; Substrates; Multilayer perceptron; Artificial neural network; Microstrip; Quad-band bandpass filter

Recently, high-performance multi-channel microstrip filters are widely demanded by modern multi-service communication systems. Designing these filters with both compact size and low loss is a challenge for the researchers. In this paper and for the first time, we have proposed a novel method based o...