Lucks, Marcio Barbosa [UNESP]Oki, Nobuo [UNESP]2014-05-272014-05-272008-12-01Proceedings - SBCCI 2008: 21st Symposium on Integrated Circuits and Systems Design, p. 90-93.http://hdl.handle.net/11449/70689We propose new circuits for the implementation of Radial Basis Functions such as Gaussian and Gaussian-like functions. These RBFs are obtained by the subtraction of two differential pair output currents in a folded cascode configuration. We also propose a multidimensional version based on the unidimensional circuits. SPICE simulation results indicate good functionality. These circuits are intended to be applied in the implementation of radial basis function networks. One possible application of these networks is transducer signal conditioning in aircraft and spacecraft vehicles onboard telemetry systems. Copyright 2008 ACM.90-93engArtificial neural networksFolded cascode topologyRadial basis functionDifferential pairsGaussianOutput currentsSignal conditioningSPICE simulationsTelemetry systemsAircraftAttitude controlBackpropagationFeedforward neural networksFunctionsImage segmentationIntegrated circuitsMedical imagingNetworks (circuits)Neural networksProbability density functionSpacecraftSPICESystems analysisTopologyTrellis codesRadial basis function networksTrabalho apresentado em evento10.1145/1404371.1404402WOS:000266721400015Acesso aberto2-s2.0-592491015931525717947689076