Title :
An analog Gaussian generator circuit for radial basis function neural networks with non-volatile center storage
Author :
Galbraith, John ; Holman, W. Timothy
Author_Institution :
Arizona Univ., Tucson, AZ, USA
Abstract :
A BiCMOS analog circuit that computes a Gaussian function suitable for use in radial basis function neural networks is proposed. The circuit accepts multiple voltage inputs and stores the basis function center in a set of nonvolatile floating gate memory cells. The design is well suited for adaptive networks that use on-chip learning. Experimental results of the circuit are shown
Keywords :
BiCMOS analogue integrated circuits; Gaussian processes; cellular arrays; feedforward neural nets; learning (artificial intelligence); neural chips; BiCMOS analog circuit; adaptive networks; analog Gaussian generator circuit; floating gate memory cells; multiple voltage inputs; nonvolatile center storage; on-chip learning; radial basis function neural networks; Analog circuits; Analog computers; Artificial intelligence; BiCMOS integrated circuits; Computer networks; Neural networks; Nonvolatile memory; Optical computing; Radial basis function networks; Virtual colonoscopy;
Conference_Titel :
Circuits and Systems, 1996., IEEE 39th Midwest symposium on
Conference_Location :
Ames, IA
Print_ISBN :
0-7803-3636-4
DOI :
10.1109/MWSCAS.1996.594023
