Asymmetrical Two λ/2 Resonators Bandpass Filter Design by Artificial Neural Network Modeling

Author

Wang, Hui-Sheng ; Li, Xiu-Ping

Author_Institution

Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing

fYear

2008

fDate

14-15 Dec. 2008

Firstpage

230

Lastpage

232

Abstract

This paper presents a design approach for an asymmetrical lambda/2 resonators bandpass filter by using the artificial neural network (ANN) modeling technique. Three important dimensions of the filter layout are used to capture critical input-output relationships in the ANN model. Once fully developed, the ANN model has been shown to be as accurate as an EM simulator and much more efficient computationally in the design optimization of the filter.

Keywords

band-pass filters; neural nets; optimisation; resonator filters; EM simulator; artificial neural network modeling technique; asymmetrical lambda-2 resonators bandpass filter; critical input-output relationships; design optimization; Artificial neural networks; Band pass filters; Circuit simulation; Computational modeling; Design optimization; Equivalent circuits; Hydrogen; Microwave filters; Neurons; Resonator filters; Artificial Neural Network; Asymmetrical; Bandpass filter; Â¿/2 resonator;

fLanguage

English

Publisher

ieee

Conference_Titel

Art of Miniaturizing RF and Microwave Passive Components, 2008. IMWS 2008. IEEE MTT-S International Microwave Workshop Series on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-2876-2

Electronic_ISBN

978-1-4244-2877-9

Type

conf

DOI

10.1109/IMWS.2008.4782308

Filename

4782308