Rayas-Sánchez, José E.Gutiérrez-Ayala, Vladimir2013-05-212013-05-212006-11V. Gutiérrez-Ayala and J. E. Rayas-Sánchez, “High-frequency circuit design using a neural space-mapping algorithm based on a two-layer perceptron with optimized nonlinearity,” in Int. Conf. on Electronic Design Proc. (ICED 2006), Veracruz, Mexico, Nov. 2006, pp. 90-95.http://hdl.handle.net/11117/590In this work we present an improved version of the Neural Space-Mapping algorithm with regulated nonlinearity. The new version uses a nonlinear two-layer perceptron (2LP), instead of a three layer perceptron (3LP), to train the space-mapping (SM)-based neuromodel. The 2LP mapping nonlinearity is automatically regulated with classical optimization algorithms. Additionally, the new algorithm uses a different optimization method to train the SM-based neuromodel. With these three main improvements we obtain a more efficient and faster algorithm. In order to verify the algorithm performance, we design a stopband microstrip filter with quarter-wave resonant opens stubs, and a microstrip notch filter with mitered bends. Both circuits use a full-wave electromagnetic simulator.engNeural Space Mapping (NSM)High-frequency Circuits Designinfo:eu-repo/semantics/conferencePaper