[EAN: 9783540550570], Neubuch, [SC: 35.36], [PU: Springer Berlin Heidelberg], REGELUNG; ADAPTIVEARTIFICIALINTELLIGENCE; AUTOMATICCONTROL; BACKPROPAGATION; BEHAVIOR; CONTROL; INFORMATIONPROCESSING; INTELLIGENCE; MEMORY; NEURALNETWORKS; NICHTLINEAREREGELUNG; NONLINEARCONTROL; SIMULATION, Druck auf Anfrage 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. 228 pp. Englisch, Books<
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 te… Mehr…
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. Trade Books>Trade Paperback>Science>Engineering>Engr Ref, Springer Berlin Heidelberg Core >1<
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Tolle, H. and Ersü, E: Neurocontrol: Learning Control Systems Inspired by Neuronal Architectures and Human Problem Solving Strategies (Lecture Notes in Control and Information Sciences, 172) - Taschenbuch
[EAN: 9783540550570], Neubuch, [SC: 35.36], [PU: Springer Berlin Heidelberg], REGELUNG; ADAPTIVEARTIFICIALINTELLIGENCE; AUTOMATICCONTROL; BACKPROPAGATION; BEHAVIOR; CONTROL; INFORMATIONPROCESSING; INTELLIGENCE; MEMORY; NEURALNETWORKS; NICHTLINEAREREGELUNG; NONLINEARCONTROL; SIMULATION, Druck auf Anfrage 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. 228 pp. Englisch, Books<
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 te… Mehr…
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. Trade Books>Trade Paperback>Science>Engineering>Engr Ref, Springer Berlin Heidelberg Core >1<
Tolle, H. and Ersü, E: Neurocontrol: Learning Control Systems Inspired by Neuronal Architectures and Human Problem Solving Strategies (Lecture Notes in Control and Information Sciences, 172) - Taschenbuch
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Detailangaben zum Buch - Neurocontrol: Learning Control Systems Inspired by Neuronal Architectures and Human Problem Solving Strategies H. Tolle Author
EAN (ISBN-13): 9783540550570 ISBN (ISBN-10): 3540550577 Taschenbuch Erscheinungsjahr: 1992 Herausgeber: Springer Berlin Heidelberg Core >1
Buch in der Datenbank seit 2007-05-25T18:56:51+02:00 (Berlin) Detailseite zuletzt geändert am 2023-10-17T00:55:19+02:00 (Berlin) ISBN/EAN: 9783540550570
ISBN - alternative Schreibweisen: 3-540-55057-7, 978-3-540-55057-0 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: tolle, ers Titel des Buches: human problem solving, problem solving strategies, learning strategies
Daten vom Verlag:
Autor/in: H. Tolle; E. Ersü Titel: Lecture Notes in Control and Information Sciences; Neurocontrol - Learning Control Systems Inspired by Neuronal Architectures and Human Problem Solving Strategies Verlag: Springer; Springer Berlin 214 Seiten Erscheinungsjahr: 1992-03-05 Berlin; Heidelberg; DE Sprache: Englisch 53,49 € (DE) 54,99 € (AT) 59,00 CHF (CH) Available X, 214 p.
BC; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Regelungstechnik; Verstehen; Regelung; adaptive control; artificial intelligence; automatic control; backpropagation; behavior; control; information processing; intelligence; learning; memory; neural networks; nichtlineare Regelung; nonlinear control; simulation; Control, Robotics, Automation; Systems Theory, Control; Calculus of Variations and Optimization; Artificial Intelligence; Kybernetik und Systemtheorie; Optimierung; Künstliche Intelligenz; EA
