Computational Genetic Regulatory Networks: Evolvable, Self-organizing Systems, Johannes F. Knabe

Автор: Gregory S. Hornby; Lukas Sekanina; Pauline C. Hadd
Название: Evolvable Systems: From Biology to Hardware
ISBN: 3540858563 ISBN-13(EAN): 9783540858560
Издательство: Springer
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Цена: 12577.00 р.
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Описание: Constitutes the refereed proceedings of the 8th International Conference on Evolvable Systems, ICES 2008, held in Prague, Czech Republic, in September 2008. This title includes papers that are organized in topical sections on evolution of analog circuits, evolution of digital circuits, hardware-software codesign and platforms for adaptive systems.

Автор: Keller
Название: Fundamentals of Computational Intelligence - Neural Networks, Fuzzy Systems, and Evolutionary Computation
ISBN: 1119214343 ISBN-13(EAN): 9781119214342
Издательство: Wiley
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Цена: 15682.00 р.
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Описание: 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.

Автор: Ryszard Kowalczyk
Название: Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
ISBN: 3642044409 ISBN-13(EAN): 9783642044403
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments.

Автор: Julian F. Miller; Adrian Thompson; Peter Thomson;
Название: Evolvable Systems: From Biology to Hardware
ISBN: 3540673385 ISBN-13(EAN): 9783540673385
Издательство: Springer
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Цена: 9781.00 р.
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Автор: Martin A. Trefzer; Andy M. Tyrrell
Название: Evolvable Hardware
ISBN: 3662516977 ISBN-13(EAN): 9783662516973
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This book covers the basic theory, practical details and advanced research of the implementation of evolutionary methods on physical substrates. The authors present an overview of the successes achieved, and the book will act as a point of reference for both academic and industrial researchers.

Автор: Deutsch, A.; Brusch, L.; Byrne, H.; de Vries, G.; Herzel, H. (Eds.)
Название: Mathematical Modeling of Biological Systems, Volume I Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis
ISBN: 0817645578 ISBN-13(EAN): 9780817645571
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This edited volume contains a selection of chapters that are an outgrowth of the - ropean Conference on Mathematical and Theoretical Biology (ECMTB05, Dresden, Germany, July 2005). The peer-reviewed contributions show that mathematical and computational approaches are absolutely essential for solving central problems in the life sciences, ranging from the organizational level of individual cells to the dynamics of whole populations. The contributions indicate that theoretical and mathematical biology is a diverse and interdisciplinary ?eld, ranging from experimental research linked to mathema- cal modeling to the development of more abstract mathematical frameworks in which observations about the real world can be interpreted, and with which new hypotheses for testing can be generated. Today, much attention is also paid to the development of ef?cient algorithms for complex computation and visualisation, notably in molecular biology and genetics. The ?eld of theoretical and mathematical biology and medicine has profound connections to many current problems of great relevance to society. The medical, industrial, and social interests in its development are in fact indisputable.

Автор: Octavian Iordache
Название: Self-Evolvable Systems
ISBN: 3642431496 ISBN-13(EAN): 9783642431494
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This book presents key methods to successfully manage the growing complexity of systems where conventional engineering and scientific methodologies and technologies based on learning and adaptability come to their limits and new ways are required.

Автор: Nadia Nedjah; Luiza de Macedo Mourelle
Название: Evolvable Machines
ISBN: 3642421512 ISBN-13(EAN): 9783642421518
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Methods for the artificial evolution of active components, such as programs and hardware, are rapidly developing branches of adaptive computation and adaptive engineering. This book presents theoretical as well as practical chapters concentrating on Evolvable Robots, Evolvable Hardware Synthesis, as well as Evolvable Design.