Neural Processing Systems

Bill Miceli

doi:10.1117/12.964023

13 February 1986 Neural Processing Systems

Bill Miceli

Proceedings Volume 0634, Optical and Hybrid Computing; (1986) https://doi.org/10.1117/12.964023
Event: Optical and Hybrid Computing, 1986, Leesburg, United States

Abstract

Neural processors are self-organizing Hamiltonian systems with adaptive energy functions, and are commonly referred to as "Neural Networks." They are characterized by a set of differential or difference equations, and can process information by means of their state response to initial or continuous input. Such processors consist of a large number of mutually interconnected nonlinear devices, appropriately called Processing elements or more prosaically referred to as "neurons." See references 1-3 for elaboration.

Citation Download Citation

Bill Miceli "Neural Processing Systems", Proc. SPIE 0634, Optical and Hybrid Computing, (13 February 1986); https://doi.org/10.1117/12.964023

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