dc.creatorGutiérrez-Ayala, Vladimir
dc.creatorRayas-Sánchez, José E.
dc.date2013-05-20T18:48:26Z
dc.date2013-05-20T18:48:26Z
dc.date2010-09
dc.date.accessioned2023-07-21T21:51:04Z
dc.date.available2023-07-21T21:51:04Z
dc.identifierV. Gutiérrez-Ayala and J.E. Rayas-Sánchez, “Neural input space mapping optimization based on nonlinear two-layer perceptrons with optimized nonlinearity,” Int. J. RF and Microwave CAE, vol. 20, pp. 512-526, Sep. 2010.
dc.identifier1096-4290
dc.identifierhttp://hdl.handle.net/11117/570
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7753325
dc.descriptionA neural space mapping optimization algorithm based on nonlinear two layer perceptrons (2LP) is described in this article. This work is an improved version of the Neural Space-Mapping (NSM) algorithm that uses three layer perceptrons (3LP) to implement a nonlinear input mapping function at each iteration. The new version uses a nonlinear 2LP whose nonlinearity is automatically regulated with classical optimization algorithms. Additionally, the new algorithm uses a different optimization method to train the SM-based neuromodel and a more efficient manner to predict the next iterate. With these improvements, we obtain a more efficient and faster algorithm. To verify the algorithm performance, we design some synthetic circuits, as well as a stopband microstrip filter with quarter-wave resonant opens stubs, a bandpass microstrip filter, and a microstrip notch filter with mitered bends. The last three cases use commercially available full-wave electromagnetic simulators. A rigorous comparison is made with the original NSM algorithm, showing the performance improvement achieved by our proposed new formulation.
dc.descriptionITESO, A.C.
dc.descriptionIntel Guadalajara Design Center
dc.formatapplication/pdf
dc.languageeng
dc.publisherInt. J. RF and Microwave CAE
dc.relationInt. J. RF and Microwave CAE;20
dc.rightshttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-ND-2.5-MX.pdf
dc.subjectComputer Aided Design (CAD)
dc.subjectCircuit Design
dc.subjectElectromagnetic Based Optimization
dc.subjectThree-Layer Perceptron
dc.subjectTwo-Layer Perceptron
dc.subjectMicrostrip Filters
dc.subjectSurrogate Modeling
dc.subjectNeural Space Mapping (NSM)
dc.subjectArtificial Neural Networks (ANN)
dc.titleNeural input space mapping optimization based on nonlinear two-layer perceptrons with optimized nonlinearity
dc.typeinfo:eu-repo/semantics/article


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