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Published by Kempston, Bedford : IFS Publ.; Berlin ; Heidelberg ; New York ; London ; Paris ; Tokyo : Springer, 1988
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Published by World Bank Publications, 2014
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Language: English
Published by World Bank Publications, 2014
ISBN 10: 1464800340 ISBN 13: 9781464800344
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Language: English
Published by World Bank Publications, 2014
ISBN 10: 1464800340 ISBN 13: 9781464800344
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Language: English
Published by World Bank Publications, 2014
ISBN 10: 1464800340 ISBN 13: 9781464800344
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Add to basketHardcover. Condition: Fine. Abnutzung / Risse - leicht; Vergilbt / ausgeblichen; Hat Beilage / CD. The 2005 Virtual International Conference on IPROMS took place on the Internet between 4 and 15 July 2005. IPROMS 2005 was an outstanding success. During the Conference, some 4168 registered delegates and guests from 71 countries participated in the Conference, making it a truly global phenomenon. This book contains the Proceedings of IPROMS 2005. The 107 peer-reviewed technical papers presented at the Conference have been grouped into twelve sections, the last three featuring contributions selected for IPROMS 2005 by Special Sessions - Collaborative and Responsive Manufacturing Systems- Concurrent Engineering- E-manufacturing, E-business and Virtual Enterprises- Intelligent Automation Systems- Intelligent Decision Support Systems- Intelligent Design Systems- Intelligent Planning and Scheduling Systems- Mechatronics- Reconfigurable Manufacturing Systems- Tangible Acoustic Interfaces (Tai Chi)- Innovative Production Machines and Systems- Intelligent and Competitive Manufacturing Engineering.
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Taschenbuch. Condition: Neu. Neural Networks for Identification, Prediction and Control | Duc T. Pham (u. a.) | Taschenbuch | xiv | Englisch | 2012 | Springer | EAN 9781447132462 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In recent years, there has been a growing interest in applying neural networks to dynamic systems identification (modelling), prediction and control. Neural networks are computing systems characterised by the ability to learn from examples rather than having to be programmed in a conventional sense. Their use enables the behaviour of complex systems to be modelled and predicted and accurate control to be achieved through training, without a priori information about the systems' structures or parameters. This book describes examples of applications of neural networks In modelling, prediction and control. The topics covered include identification of general linear and non-linear processes, forecasting of river levels, stock market prices and currency exchange rates, and control of a time-delayed plant and a two-joint robot. These applications employ the major types of neural networks and learning algorithms. The neural network types considered in detail are the muhilayer perceptron (MLP), the Elman and Jordan networks and the Group-Method-of-Data-Handling (GMDH) network. In addition, cerebellar-model-articulation-controller (CMAC) networks and neuromorphic fuzzy logic systems are also presented. The main learning algorithm adopted in the applications is the standard backpropagation (BP) algorithm. Widrow-Hoff learning, dynamic BP and evolutionary learning are also described.
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