Accession Number : ADA192682
Title : Survey of Neural Net Paradigms for Specification of Discrete Networks.
Descriptive Note : Interim rept. 1 Jan 86-31 Dec 87,
Corporate Author : MODAL LOGIC CORP SOLANA BEACH CA
Personal Author(s) : Dvorak, Michael
PDF Url : ADA192682
Report Date : 31 Jan 1988
Pagination or Media Count : 36
Abstract : Innovative neural network architectures are seen as promising breakthroughs in key problems of interest in image and speech recognition, knowledge base coding and pattern classification. Cost characteristics dictate further research into massively parallel architectures. A survey of some salient characteristics of various paradigms is undertaken in the hope of extracting key underlying organizing principles. There are critiques of continuous-type systems, comments on noise, and some cognitive perspectives for discrete networks. There is a brief discussion of memory function. Some stochastic and functional outlines are given. Keywords: Cognition; Stochastic processes; Neural networks; Information theory; Discrete networks.
Descriptors : *NEURAL NETS, ARCHITECTURE, CLASSIFICATION, CODING, COGNITION, COSTS, INFORMATION THEORY, MEMORY DEVICES, MODELS, NERVOUS SYSTEM, NETWORKS, PARALLEL ORIENTATION, PATTERNS, SPECIFICATIONS, SPEECH RECOGNITION, STOCHASTIC PROCESSES, IMAGE PROCESSING, NEUROPHYSIOLOGY
Subject Categories : Cybernetics
Distribution Statement : APPROVED FOR PUBLIC RELEASE