A pulsed neural network capable of universal approximation.
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.
Cotter
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Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT.
Mian
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ON