title: A pulsed neural network capable of universal approximation.
abstract: The authors describe a pulsed network version of the cerebellar model articulation controller (CMAC), popularized by Albus (1981). The network produces output pulses whose times of occurrence are a function of input pulse intervals. Within limits imposed by causality conditions, this function can approximate any bounded measurable function on a compact domain. Simulation results demonstrate the viability of training the network with a least mean square algorithm.
authors.affiliation: Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT.
authors.forename: N E
authors.initials: NE
authors.lastname: Cotter
authors.forename: O N
authors.initials: ON
authors.lastname: Mian