Bakr, Mohamed H.Bandler, John W.Ismail, Mostafa A.Rayas-Sánchez, José E.Zhang, Qi J.2013-05-212013-05-212000-12M.H. Bakr, J.W. Bandler, M.A. Ismail, J.E. Rayas-Sánchez and Q.J. Zhang, “Neural space mapping optimization for EM-based design,” IEEE Trans. Microwave Theory Tech., vol. 48, pp. 2307-2315, Dec. 2000.0018-9480http://hdl.handle.net/11117/623We propose, for the first time, neural space-mapping (NSM) optimization for electromagnetic-based design. NSM optimization exploits our space-mapping (SM)-based neuromodeling techniques to efficiently approximate the mapping. A novel procedure that does not require troublesome parameter extraction to predict the next point is proposed. The initial mapping is established by performing upfront fine-model analyses at a reduced number of base points. Coarse-model sensitivities are exploited to select those base points. Huber optimization is used to train, without testing points, simple SM-based neuromodels at each NSM iteration. The technique is illustrated by a high-temperature superconducting quarter-wave parallel coupled-line microstrip filter and a bandstop microstrip filter with quarter-wave resonant open stubs.engDesign AutomationElectromagnetic Based OptimizationMicrowave CircuitsMicrostrip FiltersNeural Network ApplicationsNeural ModelingOptimization MethodsSpace MappingNeural Space Mapping (NSM)info:eu-repo/semantics/article