Multiple adaptive neuro-fuzzy inference systems for accurate microwave CAD applications
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ElectrónicaFecha de publicación
2007-08Editorial
Institute Electrical and Electronics Engineers (IEEE)Cita bibliográfica
HINOJOSA JIMÉNEZ, Juan y DOMÉNECH ASENSI, Ginés. Multiple adaptive neuro-fuzzy inference systems for accurate microwave CAD applications. En: European Conference on Circuit Theory and Design (18ª: 2007: Sevilla) 18th European Conference on Circuit Theory and Design. ECCTD 2007. Pp. 767-770. ISBN 978-1-4244-1341-6Palabras clave
Circuito CADCircuito de optimización
Lógica difusa
Redes neuronales difusas
Mecanismos de inferencia
Líneas de micro franjas
Circuitos de microondas
Circuit CAD
Circuit optimisation
Fuzzy logic
Fuzzy neural nets
Inference mechanisms
Micro strip lines
Microwave circuits
Algoritmos genéticos (AG)
Genetic Algorithm (GA)
Resumen
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.
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