Show simple item record

dc.contributor.authorPascual García, Juan 
dc.contributor.authorQuesada Pereira, Fernando Daniel 
dc.contributor.authorCañete Rebenaque, David 
dc.contributor.authorGómez Tornero, José Luis 
dc.contributor.authorÁlvarez Melcón , Alejandro 
dc.date.accessioned2009-01-29T08:46:40Z
dc.date.available2009-01-29T08:46:40Z
dc.date.issued2006-01
dc.identifier.citationPASCUAL GARCÍA, Juan, QUESADA PEREIRA, Fernando, CAÑETE REBENAQUE, David, GÓMEZ TORNERO, José Luis, ÁLVAREZ MELCÓN, Alejandro. A neural-network method for the analysis of multilayered shielded microwave circuits. IEEE Transactions on Microwave Theory and Techniques, 54 (1): 309-320, Enero 2006. ISSN 0018-9480es
dc.identifier.issn0018-9480
dc.description.abstractIn 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.es
dc.formatapplication/pdf
dc.language.isoenges
dc.publisherIEEE Microwave Theory and Techniques Societyes
dc.rightsCopyright © 2008 IEEEes
dc.titleA neural-network method for the analysis of multilayered shielded microwave circuitses
dc.typeinfo:eu-repo/semantics/articlees
dc.subject.otherTeoría de la Señal y las Comunicacioneses
dc.subjectCircuitos múltipleses
dc.subjectFunciones múltiples de Greenes
dc.subjectRed neuronales
dc.subjectCircuitos impresoses
dc.subjectBase radial de función de redes neuronales (RBFNN)es
dc.subjectCircuitos blindados de microondases
dc.subjectComputer Aided Design (CAD)
dc.subjectMultiple Circuits
dc.subjectMultiple functions of Green
dc.subjectNeural Network (NN)
dc.subjectRadial basis function neural networks (RBFNN)
dc.subjectArmoured Microwave Circuits
dc.subjectCircuit board
dc.subjectDiseño asistido por ordenador
dc.identifier.urihttp://hdl.handle.net/10317/638
dc.contributor.investgroupGrupo de Electromagnetismo Aplicado a las Telecomunicaciones (GEAT)
dc.identifier.doi10.1109/TMTT.2005.861660


Files in this item

This item appears in the following Collection(s)

Show simple item record