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Space Mapping Based Neuromodeling

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dc.contributor.author Rayas-Sánchez, José E.
dc.contributor.author Bandler, John W.
dc.date.accessioned 2013-05-20T19:37:51Z
dc.date.available 2013-05-20T19:37:51Z
dc.date.issued 2001-05
dc.identifier.citation J. W. Bandler and J. E. Rayas-Sánchez, “Space Mapping Based Neuromodeling,” in IEEE MTT-S Int. Microwave Symp. Workshop Notes and Short Courses, Phoenix, AZ, May 2001. es
dc.identifier.uri http://hdl.handle.net/11117/579
dc.description A powerful concept in neuromodeling of microwave circuits based on Space Mapping technology is described. The ability of Artificial Neural Networks (ANN) to model high-dimensional and highly nonlinear problems is exploited in the implementation of the Space Mapping concept. By taking advantage of the vast set of empirical models already available for many microwave structures, Space Mapping based neuromodels decrease the number of EM simulations for training, improve the generalization and extrapolation performance and reduce the complexity of the ANN topology with respect to the conventional neuromodeling approach. Five innovative techniques are proposed to create Space Mapping based neuromodels for microwave circuits: Space Mapped Neuromodeling (SMN), Frequency-Dependent Space Mapped Neuromodeling (FDSMN), Frequency Space Mapped Neuromodeling (FSMN), Frequency Mapped Neuromodeling (FMN) and Frequency Partial-Space Mapped Neuromodeling (FPSM). Excepting SMN, all these approaches establish a frequency-sensitive neuromapping to expand the frequency region of accuracy of the empirical models already available for microwave components that were developed using quasi-static analysis. We contrast our approach with the conventional neuromodeling approach employed in the microwave arena, as well as with other state-ofthe-art neuromodeling techniques. We use Huber optimization to efficiently train the simple ANN that implements the mapping in our SM-based neuromodels. The five space mapping based neuromodeling techniques are illustrated by two case studies: a microstrip right angle bend and a hightemperature superconducting (HTS) quarter-wave parallel coupled-line microstrip filter. es
dc.description.sponsorship ITESO, A.C. es
dc.language.iso eng es
dc.publisher IEEE MTT-S International Microwave Symposium es
dc.relation.ispartofseries IEEE MTT-S International Microwave Symposium;2001
dc.rights.uri http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-ND-2.5-MX.pdf es
dc.subject Frequency-Space Mapping Super Model (FSMSM) es
dc.subject Microwave Circuits es
dc.subject Electromagnetic Based Design es
dc.subject Space Mapping es
dc.title Space Mapping Based Neuromodeling es
dc.type info:eu-repo/semantics/conferencePaper es
rei.revisor IEEE MTT-S International Microwave Symposium
rei.peerreviewed Yes es


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