%0 Journal Article 
%A Hinojosa Jiménez, Juan
%A Doménech Asensi, Ginés
%T Multiple adaptive neuro-fuzzy inference systems for accurate microwave CAD applications
%D 2007
%U http://hdl.handle.net/10317/1254
%X An approach for applying fuzzy logic for accurate
CAD of microwave circuits is presented. Our proposed method
combines space-mapping (SM) technology and multiple adaptive
neuro-fuzzy inference systems (MANFIS) for the modeling of
microwave devices. MANFIS is trained to predict a nonlinear
vector multidimensional mapping function, which is obtained
from SM approach. Optimization by micro-genetic algorithm is
used to find nonlinear vector multidimensional mapping
function for singular systems. This approach is applied to a
shielded microstrip line within a region of interest. The
parameter values (ε reff ( f ) , Zc ( f )) computed with our
proposed method are in excellent agreement with those obtained
from electromagnetic simulations.
%K Electrónica
%K Circuito CAD
%K Circuito de optimización
%K Lógica difusa
%K Redes neuronales difusas
%K Mecanismos de inferencia
%K Líneas de micro franjas
%K Circuitos de microondas
%K Circuit CAD
%K Circuit optimisation
%K Fuzzy logic
%K Fuzzy neural nets
%K Inference mechanisms
%K Micro strip lines
%K Microwave circuits
%K Algoritmos genéticos (AG)
%K Genetic Algorithm (GA)
%~ GOEDOC, SUB GOETTINGEN