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Mathematical Theory of Neural Networks. (1998)

Abstract
This report provides a summary of the grant work by the principal investigators in the area of neural networks. The topics covered deal with (1) analysis of networks from the viewpoint of analog computational devices, exploring limitations imposed by resource constraints; (2) questions of parameter identification of recurrent nets; (3) use of feedforward nets for function approximation and interpolation problems; (4) systems theory (observability and other properties) for nets; and (5) the use of neural networks for the control of nonlinear systems.

Publication details
Download http://handle.dtic.mil/100.2/ADA292785
Contributors RUTGERS - THE STATE UNIV NEW BRUNSWICK NJ DEPT OF MATHEMATICS
Repository Defense Technical Information Center OAI-PMH Repository (United States)
Keywords THEORETICAL MATHEMATICS, CYBERNETICS, *NEURAL NETS, CONTROL SYSTEMS, OPTIMIZATION, COMPUTATIONS, PARAMETERS, THEORY, NUMERICAL ANALYSIS, IDENTIFICATION, NONLINEAR SYSTEMS, INTERPOLATION, MATHEMATICS, ANALOG SYSTEMS., *MATHEMATICAL THEORY, PE61102F
Language eng