%0 Journal Article
%A Pascual García, Juan
%A Quesada Pereira, Fernando Daniel
%A Cañete Rebenaque, David
%A Gómez Tornero, José Luis
%A Álvarez Melcón , Alejandro
%T A neural-network method for the analysis of multilayered shielded microwave circuits
%D 2006
%@ 0018-9480
%U http://hdl.handle.net/10317/638
%X In this paper, a neural-network-based method for the
analysis of practical multilayered shielded microwave circuits is
presented. Using this idea, a radial basis function neural network
(RBFNN) is trained to approximate the space-domain multilayered
media boxed Green’s functions used in the integral-equation
(IE) method. Once the RBFNN has been trained, the outputs of the
neural network (NN) replace the exact Green’s functions, during
the numerical solution of the IE. The computation of the RBFNN
output values is very fast in comparison with the numerical
methods used to calculate the exact Green’s functions. This paper
describes two novel strategies for efficiently training the RBFNN.
In the first strategy, the input space of the RBFNN is divided into
several spatial and frequency regions. The spatial subdivision is
extended for the first time to both observation and source regions.
In addition, the subdivision of the observation points regions is
applied in a novel manner to the whole cross section of the metallic
box. The second strategy combines the above region subdivision
with an adaptive selection of the neurons variances in each region.
The accuracy and the computational gain achieved with
the NN method proposed makes possible the implementation of
computer-aided-design tools that can be used for the analysis and
design of integrated shielded microwave circuits (e.g., monolithic
microwave integrated circuit devices) on a real-time basis.
%K Teoría de la Señal y las Comunicaciones
%K Circuitos múltiples
%K Funciones múltiples de Green
%K Red neuronal
%K Circuitos impresos
%K Base radial de función de redes neuronales (RBFNN)
%K Circuitos blindados de microondas
%K Computer Aided Design (CAD)
%K Multiple Circuits
%K Multiple functions of Green
%K Neural Network (NN)
%K Radial basis function neural networks (RBFNN)
%K Armoured Microwave Circuits
%K Circuit board
%K Diseño asistido por ordenador
%~ GOEDOC, SUB GOETTINGEN