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Softcover. Condición: 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.…

Condición: New. In English.

Paperback. Condición: Brand New. 1992 edition. 228 pages. 9.60x6.69x0.48 inches. In Stock.

Taschenbuch. Condición: 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.…

Condición: Buone. inglese Condizioni dell'esterno: Buone Condizioni dell'interno: Buone.

Taschenbuch. Condición: 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.…

Condición: 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.…