Neural network modeling of dynamical systems

N. Z. Hakim, J. J. Kaufman, R. S. Siffert, G. Cerf, H. E. Meadows

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The authors present a class of discrete-time neural network-based, nonlinear models suitable for nonlinear signal processing and system modeling in a systems identification framework. The positive results obtained so far on a number of nonlinear processing tasks suggest that this method might prove useful on real world data, and find use in biomedical applications, including bone fracture healing assessment.

Original languageEnglish
Title of host publicationBiomedical Engineering Perspectives
Subtitle of host publicationHealth Care Technologies for the 1990's and Beyond
PublisherPubl by IEEE
Pages1413-1414
Number of pages2
Editionpt 3
ISBN (Print)0879425598
StatePublished - 1990
Externally publishedYes
EventProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Philadelphia, PA, USA
Duration: 1 Nov 19904 Nov 1990

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 3
ISSN (Print)0589-1019

Conference

ConferenceProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityPhiladelphia, PA, USA
Period1/11/904/11/90

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