A Radial Basis Function Network (rbfn) for Function Approximation

MB Lucks,N Oki

42ND MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, PROCEEDINGS, VOLS 1 AND 2（1999）

Dept. de Engenharia Eletrica

被引用15|浏览5

摘要

A radial basis function network (RBFN) circuit for function approximation is presented. Simulation and experimental results show that the network has good approximation capabilities. The RBFN was a squared hyperbolic secant with three adjustable parameters-amplitude, width and center. To test the network a sinusoidal and sinc function was approximated

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关键词

SPICE,function approximation,neural chips,radial basis function networks,Gaussian function,RBF network circuit,SPICE,adjustable parameters,bipolar transistor differential pair,function approximation,gradient descent method,simulated annealing,simulation,sinc function,sinusoidal function,squared hyperbolic secant,transconductance characteristic

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