Fundamentals of computational intelligence neural networks, fuzzy systems, and evolutionary computation
Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuse...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Hoboken, New Jersey
IEEE Press/Wiley
2016
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| Schriftenreihe: | IEEE Press series on computational intelligence
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| 520 | |a Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. . Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks. Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals. Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence. Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines | ||
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Datensatz im Suchindex
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| dewey-full | 006.33 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.33 |
| dewey-search | 006.33 |
| dewey-sort | 16.33 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV046418445 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:44:05Z |
| institution | BVB |
| isbn | 1119214408 9781119214403 |
| language | English |
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| series2 | IEEE Press series on computational intelligence |
| spelling | Keller, James M. Verfasser aut Fundamentals of computational intelligence neural networks, fuzzy systems, and evolutionary computation James M. Keller, Derong Liu, David B. Fogel Hoboken, New Jersey IEEE Press/Wiley 2016 1 Online-Resource (400 pages) txt rdacontent c rdamedia cr rdacarrier IEEE Press series on computational intelligence Online resource; title from PDF title page (EBSCO, viewed August 12, 2016) Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. . Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks. Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals. Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence. Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines Expert systems (Computer science) fast Expert systems (Computer science) Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 s 1\p DE-604 Liu, Derong Sonstige oth Fogel, David B. Sonstige oth Erscheint auch als Druck-Ausgabe Keller, James M. Fundamentals of Computational Intelligence : Neural Networks, Fuzzy Systems, and Evolutionary Computation Hoboken : Wiley,c2016 9781119214403 https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7547467 Aggregator URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Keller, James M. Fundamentals of computational intelligence neural networks, fuzzy systems, and evolutionary computation Expert systems (Computer science) fast Expert systems (Computer science) Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4033447-8 |
| title | Fundamentals of computational intelligence neural networks, fuzzy systems, and evolutionary computation |
| title_auth | Fundamentals of computational intelligence neural networks, fuzzy systems, and evolutionary computation |
| title_exact_search | Fundamentals of computational intelligence neural networks, fuzzy systems, and evolutionary computation |
| title_full | Fundamentals of computational intelligence neural networks, fuzzy systems, and evolutionary computation James M. Keller, Derong Liu, David B. Fogel |
| title_fullStr | Fundamentals of computational intelligence neural networks, fuzzy systems, and evolutionary computation James M. Keller, Derong Liu, David B. Fogel |
| title_full_unstemmed | Fundamentals of computational intelligence neural networks, fuzzy systems, and evolutionary computation James M. Keller, Derong Liu, David B. Fogel |
| title_short | Fundamentals of computational intelligence |
| title_sort | fundamentals of computational intelligence neural networks fuzzy systems and evolutionary computation |
| title_sub | neural networks, fuzzy systems, and evolutionary computation |
| topic | Expert systems (Computer science) fast Expert systems (Computer science) Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Expert systems (Computer science) Künstliche Intelligenz |
| url | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7547467 |
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