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Neurocontrol: Learning Control Systems Inspired by Neuronal Architectures and Human Problem Solving Strategies (Lecture Notes in Control and Information Sciences): 172 - Softcover
Inhaltsangabe
Since heavily non-linear and/or very complex processes still pose a problem for automatic control, they can often be handled easily by human operators. The book describes re- sults from ten years of research on learning control loops, which imitate these abilities. After discussing the diffe- rencesto adaptive control some background on human informa- tion processing and behaviour is put forward and some lear- ning control loop structure related to these ideas is shown. The ability to learn is due to memories, which are able to interpolate for multi-dimensional input spaces between scat- tered output values. A neuronally and mathematically inspi- red memory lay out-are compared and it is shown that they learn much faster thanbackpropagation neural networks, which can also be used. For the learning control loop diffe- rent architectures are given. Their usefulness is demonstra- ted by simulation and results from applications to real pi- lot plants. The book should be of interest for control engi- neers as well as researchers in neural net applications and/or artificial intelligence. The usual mathematical back- ground of engineers is sufficient.
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Reseña del editor
Since heavily non-linear and/or very complex processes still pose a problem for automatic control, they can often be handled easily by human operators. The book describes re- sults from ten years of research on learning control loops, which imitate these abilities. After discussing the diffe- rencesto adaptive control some background on human informa- tion processing and behaviour is put forward and some lear- ning control loop structure related to these ideas is shown. The ability to learn is due to memories, which are able to interpolate for multi-dimensional input spaces between scat- tered output values. A neuronally and mathematically inspi- red memory lay out-are compared and it is shown that they learn much faster thanbackpropagation neural networks, which can also be used. For the learning control loop diffe- rent architectures are given. Their usefulness is demonstra- ted by simulation and results from applications to real pi- lot plants. The book should be of interest for control engi- neers as well as researchers in neural net applications and/or artificial intelligence. The usual mathematical back- ground of engineers is sufficient.
Reseña del editor
Processes which are heavily non-linear and/or very complex pose a problem for automatic control, yet they can often be handled easily by human operators. This book describes results from 10 years of research on learning control loops which imitate these human abilities. After discussing the contrast with adaptive control, the authors present some background on human information processing and behaviour. A neuronally-inspired memory layout and a mathematically inspired one are compared and it is shown that they learn much faster than back-propagation neural networks. Different architectures are given for the learning control loop. Their usefulness is demonstrated by simulation and results from applications to real pilot plants. The book should be of interest to control engineers as well as researchers in neural net applications and/or artificial intelligence.
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- VerlagSpringer
- Erscheinungsdatum1992
- ISBN 10 3540550577
- ISBN 13 9783540550570
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten228
- Kontakt zum HerstellerNicht verfügbar
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Neurocontrol: Learning Control Systems Inspired by Neuronal Architectures and Human Problem Solving Strategies
Verlag:
Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1992
ISBN 10: 3540550577
ISBN 13: 9783540550570
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Softcover. Zustand: Très bon. Ancien livre de bibliothèque. Petite(s) trace(s) de pliure sur la couverture. Légères traces d'usure sur la couverture. Couverture différente. Edition 1992. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slightly creased cover. Slight signs of wear on the cover. Different cover. Edition 1992. Ammareal gives back up to 15% of this item's net price to charity organizations. Bestandsnummer des Verkäufers E-812-893
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Neurocontrol: Learning Control Systems Inspired by Neuronal Architectures and Human Problem Solving Strategies
Verlag:
Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1992
ISBN 10: 3540550577
ISBN 13: 9783540550570
Gebraucht
Softcover
Anbieter: Ammareal, Morangis, Frankreich
Verkäuferbewertung 5 von 5 Sternen
Softcover. Zustand: Très bon. Ancien livre de bibliothèque. Petite(s) trace(s) de pliure sur la couverture. Légères traces d'usure sur la couverture. Pages cornées. Couverture différente. Edition 1992. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritat ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slightly creased cover. Slight signs of wear on the cover. Dog-eared pages. Different cover. Edition 1992. Ammareal gives back up to 15% of this item's net price to charity organizations. Bestandsnummer des Verkäufers E-812-892
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Neurocontrol
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Basic considerations.- Microintelligence.- Macrointelligence.Processes which are heavily non-linear and/or very complex pose a problem for automatic control. Yet they can often be handled easily by human operators. This book describes results from ten y. Bestandsnummer des Verkäufers 4893439
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Neurocontrol
ISBN 10: 3540550577
ISBN 13: 9783540550570
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Taschenbuch. Zustand: Neu. Neuware -Since heavily non-linear and/or very complex processes still pose a problem for automatic control, they can often be handled easily by human operators. The book describes re- sults from ten years of research on learning control loops, which imitate these abilities. After discussing the diffe- rencesto adaptive control some background on human informa- tion processing and behaviour is put forward and some lear- ning control loop structure related to these ideas is shown. The ability to learn is due to memories, which are able to interpolate for multi-dimensional input spaces between scat- tered output values. A neuronally and mathematically inspi- red memory lay out-are compared and it is shown that they learn much faster thanbackpropagation neural networks, which can also be used. For the learning control loop diffe- rent architectures are given. Their usefulness is demonstra- ted by simulation and results from applications to real pi- lot plants. The book should be of interest for control engi- neers as well as researchers in neural net applications and/or artificial intelligence. The usual mathematical back- ground of engineers is sufficient.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch. Bestandsnummer des Verkäufers 9783540550570
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Neurocontrol : Learning Control Systems Inspired by Neuronal Architectures and Human Problem Solving Strategies
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Since heavily non-linear and/or very complex processes stillpose a problem for automatic control, they can often behandled easily by human operators. The book describes results from ten years of research on learning control loopswhich imitate these abilities. After discussing the differencesto adaptive control some background on human information processing and behaviour is put forward and some learning control loop structure related to these ideas is shown.The ability to learn is due to memories, which are able tointerpolate for multi-dimensional input spaces between scattered output values. A neuronally and mathematically inspired memory lay out-are compared and it is shown that theylearn much faster thanbackpropagation neural networkswhich can also be used. For the learning control loop different architectures are given. Their usefulness is demonstrated by simulation and results from applications to real pilot plants. The book should be of interest for control engineers as well as researchers in neural net applicationsand/or artificial intelligence. The usual mathematical background of engineers is sufficient. Bestandsnummer des Verkäufers 9783540550570
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Neurocontrol
Verlag:
Springer Berlin Heidelberg Mrz 1992, 1992
ISBN 10: 3540550577
ISBN 13: 9783540550570
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Since heavily non-linear and/or very complex processes stillpose a problem for automatic control, they can often behandled easily by human operators. The book describes results from ten years of research on learning control loopswhich imitate these abilities. After discussing the differencesto adaptive control some background on human information processing and behaviour is put forward and some learning control loop structure related to these ideas is shown.The ability to learn is due to memories, which are able tointerpolate for multi-dimensional input spaces between scattered output values. A neuronally and mathematically inspired memory lay out-are compared and it is shown that theylearn much faster thanbackpropagation neural networkswhich can also be used. For the learning control loop different architectures are given. Their usefulness is demonstrated by simulation and results from applications to real pilot plants. The book should be of interest for control engineers as well as researchers in neural net applicationsand/or artificial intelligence. The usual mathematical background of engineers is sufficient. 228 pp. Englisch. Bestandsnummer des Verkäufers 9783540550570
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Neurocontrol: Learning Control Systems Inspired by Neuronal Architectures and Human Problem Solving Strategies (Lecture Notes in Control and Information Sciences, 172)
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Neurocontrol: Learning Control Systems Inspired by Neuronal Architectures and Human Problem Solving Strategies (Lecture Notes in Control and Information Sciences, 172)
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Neurocontrol: Learning Control Systems Inspired by Neuronal Architectures and Human Problem Solving Strategies (Lecture Notes in Control and Information Sciences)
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