Biologically Inspired Cognitive Architectures (BICA) for Young Scientists, Alexei V. Samsonovich; Valentin V. Klimov

Автор: Agust?n Guti?rrez; Santiago Marco
Название: Biologically Inspired Signal Processing for Chemical Sensing
ISBN: 3642101216 ISBN-13(EAN): 9783642101212
Издательство: Springer
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Цена: 113180.00 T
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Описание: This volume presents a collection of research advances in biologically inspired signal processing for chemical sensing. The book provides background on the olfactory system and some bio-inspired approaches to processing chemical sensor signals.

Автор: Falko Dressler; Iacopo Carreras
Название: Advances in Biologically Inspired Information Systems
ISBN: 3642091768 ISBN-13(EAN): 9783642091766
Издательство: Springer
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Цена: 204040.00 T
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Описание: Technology is taking us to a world where myriads of networked devices interact with the physical world in multiple ways and at multiple scales. According to the broad spectrum addressed by the different chapters, a rich variety of biological principles and their application to ICT systems are presented.

Автор: Jakimovski
Название: Biologically Inspired Approaches for Locomotion, Anomaly Detection and Reconfiguration for Walking Robots
ISBN: 3642225047 ISBN-13(EAN): 9783642225048
Издательство: Springer
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Цена: 130430.00 T
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Описание: The increasing presence of mobile robots in our everyday lives introduces the requirements for their intelligent and autonomous features. Therefore the next generation of mobile robots should be more self-capable, in respect to: increasing of their functionality in unforeseen situations, decreasing of the human involvement in their everyday operations and their maintenance; being robust; fault tolerant and reliable in their operation.Although mobile robotic systems have been a topic of research for decades and aside the technology improvements nowadays, the subject on how to program and making them more autonomous in their operations is still an open field for research.Applying bio-inspired, organic approaches in robotics domain is one of the methodologies that are considered that would help on making the robots more autonomous and self-capable, i.e. having properties such as: self-reconfiguration, self-adaptation, self-optimization, etc.In this book several novel biologically inspired approaches for walking robots (multi-legged and humanoid) domain are introduced and elaborated. They are related to self-organized and self-stabilized robot walking, anomaly detection within robot systems using self-adaptation, and mitigating the faulty robot conditions by self-reconfiguration of a multi-legged walking robot. The approaches presented have been practically evaluated in various test scenarios, the results from the experiments are discussed in details and their practical usefulness is validated.

Автор: Alexei V. Samsonovich; Valentin V. Klimov; Galina
Название: Biologically Inspired Cognitive Architectures (BICA) for Young Scientists
ISBN: 3319325531 ISBN-13(EAN): 9783319325538
Издательство: Springer
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Цена: 156720.00 T
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Описание: This book presents cutting-edge research focused on current challenges towards the realization of Biologically Inspired intelligent agents, or Cognitive Architectures (BICA).

Автор: Andrew Lewis; Sanaz Mostaghim; Marcus Randall
Название: Biologically-Inspired Optimisation Methods
ISBN: 3642101771 ISBN-13(EAN): 9783642101779
Издательство: Springer
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Цена: 174130.00 T
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Описание: This book covers the latest theories, applications and techniques in Biologically-Inspired Optimisation Methods. Many chapters derive from studies presented at workshops and international conferences on e-Science, Grid Computing and Evolutionary computation.

Автор: Andrew Lewis; Sanaz Mostaghim; Marcus Randall
Название: Biologically-Inspired Optimisation Methods
ISBN: 3642012612 ISBN-13(EAN): 9783642012617
Издательство: Springer
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Цена: 174150.00 T
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Описание: This book covers the latest theories, applications and techniques in Biologically-Inspired Optimisation Methods. Many chapters derive from studies presented at workshops and international conferences on e-Science, Grid Computing and Evolutionary computation.

Автор: Auke Jan Ijspeert; Toshimitsu Masuzawa; Shinji Kus
Название: Biologically Inspired Approaches to Advanced Information Technology
ISBN: 3540312536 ISBN-13(EAN): 9783540312536
Издательство: Springer
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Цена: 81050.00 T
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Описание: Covers the refereed proceedings of the Second International Workshop on Biologically Inspired Approaches to Advanced Information Technology, BioADIT 2006. This book features contributions that range from basic research in biology and in information technology, to more application-oriented developments in software and in hardware.

Автор: Mukul Sarkar; Albert Theuwissen
Название: A Biologically Inspired CMOS Image Sensor
ISBN: 3642349005 ISBN-13(EAN): 9783642349003
Издательство: Springer
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Цена: 148020.00 T
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Описание: This book presents a new approach for designing net zero energy buildings based on thermal discomfort minimization. The method helps a designer to automatically search for the optimal solution among a large set of building variants.

Автор: Alam
Название: Biologically-Inspired Techniques For Knowledge Discovery And Data Mining
ISBN: 1466660783 ISBN-13(EAN): 9781466660786
Издательство: Mare Nostrum (Eurospan)
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Цена: 257790.00 T
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Описание: Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques.Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.

Автор: Juan Romero; James McDermott; Jo?o Correia
Название: Evolutionary and Biologically Inspired Music, Sound, Art and Design
ISBN: 3662443341 ISBN-13(EAN): 9783662443347
Издательство: Springer
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Цена: 37270.00 T
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Описание:

Probabilistic Decision Making for Interactive Evolution with Sensitivity Analysis.- An Interface for Fitness Function Design.- Balancing Act: Variation and Utility in Evolutionary Art.- Size Does Not Matter: Evolving Parameters for a Cayley Graph Visualiser Using 64 Bits.- A Complexity Approach for Identifying Aesthetic Composite Landscapes.- Feature Construction Using Genetic Programming for Classification of Images by Aesthetic Value.- Authorship and Aesthetics Experiments: Comparison of Results between Human and Computational Systems.- An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images.- A Novelty Search and Power-Law-Based Genetic Algorithm for Exploring Harmonic Spaces in J.S. Bach Chorales.- Genomic: Evolving Sound Treatments Using Genetic Algorithms.- Evolving an Aircraft Using a Parametric Design System.

Автор: Mike Hinchey; Bernd Kleinjohann; Lisa Kleinjohann;
Название: Distributed, Parallel and Biologically Inspired Systems
ISBN: 3642422926 ISBN-13(EAN): 9783642422928
Издательство: Springer
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Цена: 85710.00 T
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Описание: st This volume contains the proceedings of two conferences held as part of the 21 IFIP World Computer Congress in Brisbane, Australia, 20-23 September 2010.

Автор: Mukul Sarkar; Albert Theuwissen
Название: A Biologically Inspired CMOS Image Sensor
ISBN: 3642444792 ISBN-13(EAN): 9783642444791
Издательство: Springer
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Цена: 130590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a new approach for designing net zero energy buildings based on thermal discomfort minimization. The method helps a designer to automatically search for the optimal solution among a large set of building variants.