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03453nam a22005535i 4500 |
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978-3-540-76288-1 |
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DE-He213 |
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20151204171713.0 |
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cr nn 008mamaa |
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100301s2008 gw | s |||| 0|eng d |
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|a 9783540762881
|9 978-3-540-76288-1
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|a 10.1007/978-3-540-76288-1
|2 doi
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|a MAT003000
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|a 519
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|a Rutkowski, Leszek.
|e author.
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|a Computational Intelligence
|h [electronic resource] :
|b Methods and Techniques /
|c by Leszek Rutkowski.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2008.
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| 300 |
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|a XIV, 514 p. 242 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Selected issues of artificial intelligence -- Methods of knowledge representation using rough sets -- Methods of knowledge representation using type-1 fuzzy sets -- Methods of knowledge representation using type-2 fuzzy sets -- Neural networks and their learning algorithms -- Evolutionary algorithms -- Data clustering methods -- Neuro-fuzzy systems of Mamdani, logical and Takagi-Sugeno type -- Flexible neuro-fuzzy systems.
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|a This book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. Those techniques are today commonly applied issues of artificial intelligence, e.g. to process speech and natural language, build expert systems and robots. The first part of the book presents methods of knowledge representation using different techniques, namely the rough sets, type-1 fuzzy sets and type-2 fuzzy sets. Next various neural network architectures are presented and their learning algorithms are derived. Moreover, the family of evolutionary algorithms is discussed, in particular the classical genetic algorithm, evolutionary strategies and genetic programming, including connections between these techniques and neural networks and fuzzy systems. In the last part of the book, various methods of data partitioning and algorithms of automatic data clustering are given and new neuro-fuzzy architectures are studied and compared. This well-organized modern approach to methods and techniques of intelligent calculations includes examples and exercises in each chapter and a preface by Jacek Zurada, president of IEEE Computational Intelligence Society (2004-05).
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|a Engineering.
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|a Operations research.
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|a Decision making.
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|a Artificial intelligence.
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|a Applied mathematics.
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|a Engineering mathematics.
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|a Control engineering.
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|a Robotics.
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|a Mechatronics.
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|a Engineering.
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|a Appl.Mathematics/Computational Methods of Engineering.
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|a Artificial Intelligence (incl. Robotics).
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| 650 |
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|a Applications of Mathematics.
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| 650 |
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|a Control, Robotics, Mechatronics.
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| 650 |
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|a Operation Research/Decision Theory.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783540762874
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| 856 |
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|u http://dx.doi.org/10.1007/978-3-540-76288-1
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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