Bandler, John W.Ismail, Mostafa A.Rayas-Sánchez, José E.Zhang, Qi J.2013-05-202013-05-202003-03J.W. Bandler, M.A. Ismail, J.E. Rayas-Sánchez and Q.J. Zhang, “Neural inverse space mapping (NISM) for EM-based microwave design,” Int. J. RF and Microwave CAE, vol. 13, pp. 136-147, Mar. 2003.1096-4290http://hdl.handle.net/11117/572We present neural inverse space mapping (NISM) optimization for electromagnetics-based design of microwave structures. The inverse of the mapping from the fine to the coarse model parameter spaces is exploited for the first time in a space mapping algorithm. NISM optimization does not require up-front EM simulations, multipoint parameter extraction, or frequency mapping. It employs a simple statistical parameter extraction procedure. The inverse of the mapping is approximated by a neural network whose generalization performance is controlled through a network growing strategy. We contrast our new algorithm with neural space mapping (NSM) optimization.engDesign AutomationMicrowave CircuitsMicrostrip FiltersNeural ModelingNeural Network ApplicationsSpace MappingElectromagnetic Based OptimizationElectromagnetic Based OptimizationNeural Space Mapping (NSM)info:eu-repo/semantics/article