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A new neural network technique for the design of multilayered microwave shielded bandpass filters
Author(s) -
García Juan Pascual,
Pereira Fernando Quesada,
Rebenaque David Cañete,
Díaz Juan Sebastián Gómez,
Melcón Alejandro Álvarez
Publication year - 2009
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.20363
Subject(s) - artificial neural network , shielded cable , microwave , band pass filter , computer science , basis function , cascade , filter (signal processing) , resonator , electronic engineering , set (abstract data type) , filter design , engineering , artificial intelligence , physics , telecommunications , electrical engineering , quantum mechanics , chemical engineering , computer vision , programming language
In this work, we propose a novel technique based on neural networks, for the design of microwave filters in shielded printed technology. The technique uses radial basis function neural networks to represent the non linear relations between the quality factors and coupling coefficients, with the geometrical dimensions of the resonators. The radial basis function neural networks are employed for the first time in the design task of shielded printed filters, and permit a fast and precise operation with only a limited set of training data. Thanks to a new cascade configuration, a set of two neural networks provide the dimensions of the complete filter in a fast and accurate way. To improve the calculation of the geometrical dimensions, the neural networks can take as inputs both electrical parameters and physical dimensions computed by other neural networks. The neural network technique is combined with gradient based optimization methods to further improve the response of the filters. Results are presented to demonstrate the usefulness of the proposed technique for the design of practical microwave printed coupled line and hairpin filters. © 2008 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2009.