DocumentCode :
2721573
Title :
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; ¿/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
Link To Document :
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