A neural-network method for the analysis of multilayered shielded microwave circuits
Título de la tesis:
A neural-network method for the analysis of multilayered shielded microwave circuits
Autor/es:
Pascual García, Juan - Quesada Pereira, Fernando Daniel - Cañete Rebenaque, David - Gómez Tornero, José Luis - Álvarez Melcón, Alejandro
Tipo de documento:
Artículo
Universidad:
Universidad Politécnica de Cartagena
Departamento:
Idioma:
Castellano
Palabras clave:
Diseño asistido por ordenador (CAD), Circuitos múltiples, Funciones múltiples de Green, Redes neuronales (NNs), Circuitos impresos, Base radial de función de redes neuronales (RBFNN), Circuitos blindados de microondas
Fecha de la defensa:
Jan-2006
Notas:
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...
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