TY - JOUR 
A1 - Pascual García, Juan
AU - Quesada Pereira, Fernando Daniel
AU - Cañete Rebenaque, David
AU - Gómez Díaz, Juan Sebastián
AU - Álvarez Melcón , Alejandro
T1 - A new neural network technique for the design of multilayered microwave shielded bandpass filters
Y1 - 2009
SN - 1096-4290
UR - https://onlinelibrary.wiley.com/doi/abs/10.1002/mmce.20363
UR - http://hdl.handle.net/10317/8499
AB - 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.
KW - Teoría de la Señal y las Comunicaciones
KW - Neural Networks
KW - Microwave filters
KW - Microstrip fliters
KW - Filter design techniques
KW - 2202.10 Radioondas y Microondas
LA - eng
PB - John Wiley
ER -