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Evolving Rule-Based Models : A Tool for Design of Flexible Adaptive Systems - Plamen P. Angelov
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Plamen P. Angelov:
Evolving Rule-Based Models : A Tool for Design of Flexible Adaptive Systems - used book

ISBN: 3790825069

ID: 14536691

The idea about this book has evolved during the process of its preparation as some of the results have been achieved in parallel with its writing. One reason for this is that in this area of research results are very quickly updated. Another is, possibly, that a strong, unchallenged theoretical basis in this field still does not fully exist. From other hand, the rate of innovation, competition and demand from different branches of industry (from biotech industry to civil and building engineering, from market forecasting to civil aviation, from robotics to emerging e-commerce) is increasingly pressing for more customised solutions based on learning consumers behaviour. A highly interdisciplinary and rapidly innovating field is forming which focus is the design of intelligent, self-adapting systems and machines. It is on the crossroads of control theory, artificial and computational intelligence, different engineering disciplines borrowing heavily from the biology and life sciences. It is often called intelligent control, soft computing or intelligent technology. Some other branches have appeared recently like intelligent agents (which migrated from robotics to different engineering fields), data fusion, knowledge extraction etc., which are inherently related to this field. The core is the attempts to enhance the abilities of the classical control theory in order to have more adequate, flexible, and adaptive models and control algorithms. aerospace,artificial intelligence,computer science,computers and technology,electrical and electronics,engineering,general,human vision and language systems,math,mathematics Physics, Physica-Verlag

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Evolving Rule-Based Models - Angelov, Plamen P.
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Angelov, Plamen P.:
Evolving Rule-Based Models - Paperback

2010, ISBN: 9783790825060

[ED: Softcover], [PU: Physica-Verlag], The idea about this book has evolved during the process of its preparation as some of the results have been achieved in parallel with its writing. One reason for this is that in this area of research results are very quickly updated. Another is, possibly, that a strong, unchallenged theoretical basis in this field still does not fully exist. From other hand, the rate of innovation, competition and demand from different branches of industry (from biotech industry to civil and building engineering, from market forecasting to civil aviation, from robotics to emerging e-commerce) is increasingly pressing for more customised solutions based on learning consumers behaviour. A highly interdisciplinary and rapidly innovating field is forming which focus is the design of intelligent, self-adapting systems and machines. It is on the crossroads of control theory, artificial and computational intelligence, different engineering disciplines borrowing heavily from the biology and life sciences. It is often called intelligent control, soft computing or intelligent technology. Some other branches have appeared recently like intelligent agents (which migrated from robotics to different engineering fields), data fusion, knowledge extraction etc., which are inherently related to this field. The core is the attempts to enhance the abilities of the classical control theory in order to have more adequate, flexible, and adaptive models and control algorithms. 2010. xiii, 214 S. 9 Tabellen. 235 mm Versandfertig in 3-5 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, offene Rechnung (Vorkasse vorbehalten)

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Evolving Rule-Based Models - Plamen P. Angelov
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Plamen P. Angelov:
Evolving Rule-Based Models - new book

ISBN: 9783790825060

ID: 836746724

The idea about this book has evolved during the process of its preparation as some of the results have been achieved in parallel with its writing. One reason for this is that in this area of research results are very quickly updated. Another is, possibly, that a strong, unchallenged theoretical basis in this field still does not fully exist. From other hand, the rate of innovation, competition and demand from different branches of industry (from biotech industry to civil and building engineering, from market forecasting to civil aviation, from robotics to emerging e-commerce) is increasingly pressing for more customised solutions based on learning consumers behaviour. A highly interdisciplinary and rapidly innovating field is forming which focus is the design of intelligent, self-adapting systems and machines. It is on the crossroads of control theory, artificial and computational intelligence, different engineering disciplines borrowing heavily from the biology and life sciences. It is often called intelligent control, soft computing or intelligent technology. Some other branches have appeared recently like intelligent agents (which migrated from robotics to different engineering fields), data fusion, knowledge extraction etc., which are inherently related to this field. The core is the attempts to enhance the abilities of the classical control theory in order to have more adequate, flexible, and adaptive models and control algorithms. A Tool for Design of Flexible Adaptive Systems Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Physica-Verlag HD

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Evolving Rule-Based Models - Plamen P. Angelov
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Plamen P. Angelov:
Evolving Rule-Based Models - new book

ISBN: 9783790825060

ID: ee7d88bf77e469a80d1d3f76bc39a20d

A Tool for Design of Flexible Adaptive Systems The idea about this book has evolved during the process of its preparation as some of the results have been achieved in parallel with its writing. One reason for this is that in this area of research results are very quickly updated. Another is, possibly, that a strong, unchallenged theoretical basis in this field still does not fully exist. From other hand, the rate of innovation, competition and demand from different branches of industry (from biotech industry to civil and building engineering, from market forecasting to civil aviation, from robotics to emerging e-commerce) is increasingly pressing for more customised solutions based on learning consumers behaviour. A highly interdisciplinary and rapidly innovating field is forming which focus is the design of intelligent, self-adapting systems and machines. It is on the crossroads of control theory, artificial and computational intelligence, different engineering disciplines borrowing heavily from the biology and life sciences. It is often called intelligent control, soft computing or intelligent technology. Some other branches have appeared recently like intelligent agents (which migrated from robotics to different engineering fields), data fusion, knowledge extraction etc., which are inherently related to this field. The core is the attempts to enhance the abilities of the classical control theory in order to have more adequate, flexible, and adaptive models and control algorithms. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-7908-2506-0, Physica

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Evolving Rule-Based Models: A Tool for Design of Flexible Adaptive Systems - Plamen P. Angelov
book is out-of-stock
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Plamen P. Angelov:
Evolving Rule-Based Models: A Tool for Design of Flexible Adaptive Systems - new book

ISBN: 9783790825060

ID: 978379082506

The objects of modelling and control change due to dynamical characteristics, fault development or simply ageing. There is a need to up-date models inheriting useful structure and parameter information. The book gives an original solution to this problem with a number of examples. It treats an original approach to on-line adaptation of rule-based models and systems described by such models. It combines the benefits of fuzzy rule-based models suitable for the description of highly complex systems with the original recursive, non iterative technique of model evolution without necessarily using genetic algorithms, thus avoiding computational burden making possible real-time industrial applications. Potential applications range from autonomous systems, on-line fault detection and diagnosis, performance analysis to evolving (self-learning) intelligent decision support systems. Plamen P. Angelov, Books, Science and Nature, Evolving Rule-Based Models: A Tool for Design of Flexible Adaptive Systems Books>Science and Nature, Physica-Verlag HD

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Details of the book
Evolving Rule-Based Models: A Tool for Design of Flexible Adaptive Systems (Studies in Fuzziness and Soft Computing)

The objects of modelling and control change due to dynamical characteristics, fault development or simply ageing. There is a need to up-date models inheriting useful structure and parameter information. The book gives an original solution to this problem with a number of examples. It treats an original approach to on-line adaptation of rule-based models and systems described by such models. It combines the benefits of fuzzy rule-based models suitable for the description of highly complex systems with the original recursive, non iterative technique of model evolution without necessarily using genetic algorithms, thus avoiding computational burden making possible real-time industrial applications. Potential applications range from autonomous systems, on-line fault detection and diagnosis, performance analysis to evolving (self-learning) intelligent decision support systems.

Details of the book - Evolving Rule-Based Models: A Tool for Design of Flexible Adaptive Systems (Studies in Fuzziness and Soft Computing)


EAN (ISBN-13): 9783790825060
ISBN (ISBN-10): 3790825069
Paperback
Publishing year: 2010
Publisher: Physica Verlag
228 Pages
Weight: 0,351 kg
Language: eng/Englisch

Book in our database since 29.07.2011 17:14:14
Book found last time on 20.12.2017 23:03:47
ISBN/EAN: 9783790825060

ISBN - alternate spelling:
3-7908-2506-9, 978-3-7908-2506-0


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