13 February 1986 Neural Processing Systems
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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.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bill Miceli, Bill Miceli, } "Neural Processing Systems", Proc. SPIE 0634, Optical and Hybrid Computing, (13 February 1986); doi: 10.1117/12.964023; https://doi.org/10.1117/12.964023
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