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Neural Network Applications in Control:

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dc.contributor.author Irwin, G. W., ed.
dc.contributor.author Warwick, K., ed.
dc.contributor.author Hunt, K. J., ed.
dc.date.accessioned 2019-12-14T22:59:06Z
dc.date.available 2019-12-14T22:59:06Z
dc.date.issued 1995
dc.identifier.uri http://dspace.conacyt.gov.py/xmlui/handle/123456789/35299
dc.description.abstract The book comprises 12 chapters dealing with the following subjects: digital neural networks; neurocontrol; approximation theory; electric power and chemical process applications; dynamic artificial neural network; nonlinear process control; speech, vision and colour applications; real-time drive control; fuzzy-neural control in intensive-care blood pressure management; system identification; neurofuzzy adaptive modelling; and nonlinear dynamical process.
dc.format application/pdf
dc.format.extent 1 online resource (309 p.)
dc.language.iso en
dc.publisher IET
dc.relation.ispartofseries Control, Robotics & Sensors
dc.relation.uri http://cicco.idm.oclc.org/login?url=http://dx.doi.org/10.1049/PBCE053E
dc.subject Approximation theory.
dc.subject Chemical engineering.
dc.subject Color.
dc.subject Computer vision.
dc.subject Control.
dc.subject Control theory.
dc.subject Electric motors.
dc.subject Electric power.
dc.subject Estimation theory.
dc.subject Fuzzy systems.
dc.subject Health.
dc.subject Hemodynamics.
dc.subject Image analysis.
dc.subject Medical care.
dc.subject Medical technology.
dc.subject Neural networks (Computer science).
dc.subject Nonlinear control theory.
dc.subject Nonlinear systems.
dc.subject Process control.
dc.subject Speech processing systems.
dc.subject approximation theory.
dc.subject chemical engineering.
dc.subject computer vision.
dc.subject fuzzy control.
dc.subject fuzzy neural nets.
dc.subject haemodynamics.
dc.subject health care.
dc.subject image colour analysis.
dc.subject machine control.
dc.subject medical control systems.
dc.subject motor drives.
dc.subject neurocontrollers.
dc.subject nonlinear control systems.
dc.subject nonlinear dynamical systems.
dc.subject power control.
dc.subject process control.
dc.subject speech processing.
dc.subject state estimation.
dc.subject.other digital neural networks
dc.subject.other neurocontrol
dc.subject.other approximation theory
dc.subject.other electric power application
dc.subject.other chemical process application
dc.subject.other dynamic artificial neural network
dc.subject.other nonlinear process control
dc.subject.other speech application
dc.subject.other vision application
dc.subject.other colour application
dc.subject.other real-time drive control
dc.subject.other fuzzy-neural control
dc.subject.other intensive-care blood pressure management
dc.subject.other system identification
dc.subject.other neurofuzzy adaptive modelling
dc.subject.other nonlinear dynamical process
dc.subject.other state estimation
dc.title Neural Network Applications in Control:
dc.type electronic resource
dc.type book
dcterms.bibliographicCitation Neural Network Applications in Control: / G.W. Irwin; K. Warwick; K.J. Hunt [Eds].1 online resource (309 p.). Stevenage :IET,1995.
dc.identifier.isbne 9781849193498


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