Title :
Bandpass filter design by artificial neural network modeling
Author :
Li, Xiuping ; Gao, Jianjun ; Yook, Jong-Gwan ; Chen, Xiaodong
Author_Institution :
Sch. of Telecommun. Eng., Beijing Univ. of Posts & Telecommun., China
Abstract :
This paper presents a design approach for a λ/2 resonator 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; circuit CAD; neural nets; resonator filters; artificial neural network modeling; design optimization; filter layout; resonator bandpass filter; Artificial neural networks; Band pass filters; Bandwidth; Circuit simulation; Computational modeling; Design engineering; Design optimization; Equivalent circuits; Microwave filters; Resonator filters; Artificial Neural Network; Bandpass filter;
Conference_Titel :
Microwave Conference Proceedings, 2005. APMC 2005. Asia-Pacific Conference Proceedings
Print_ISBN :
0-7803-9433-X
DOI :
10.1109/APMC.2005.1606362