Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
A Reconfigurable Gaussian/Triangular Basis Functions Computation Circuit
Analog Integrated Circuits and Signal Processing
Human expression recognition from motion using a radial basis function network architecture
IEEE Transactions on Neural Networks
Higher-Order-Statistics-Based Radial Basis Function Networks for Signal Enhancement
IEEE Transactions on Neural Networks
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An analog circuit that implements a radial basis function network is presented. The proposed circuit allows the adjustment of all shape parameters of the radial functions, i.e., amplitude, center and width. The implemented network was applied to the linearization of a nonlinear circuit, a voltage controlled oscillator (VCO). This application can be classified as an open-loop control in which the network plays the role of the controller. Experimental results have proved the linearization capability of the proposed circuit. Its performance can be improved by using a network with more basis functions.