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.
Описание: Career Award in Information and Communication Technology: Foundation Level accompanies the Cambridge International Examinations (CIE) syllabus for the Career Award in Information and Communication Technology at Foundation Level. It closely matches the content of the syllabus, and has been endorsed by CIE for use with its examination.
The author,an information technology specialist, writes in a lively, accessible style and uses a step-by-step approach to introduce students to the basic concepts and skills required.
Автор: Falko Dressler; Iacopo Carreras Название: Advances in Biologically Inspired Information Systems ISBN: 3642091768 ISBN-13(EAN): 9783642091766 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Andrew Lewis; Sanaz Mostaghim; Marcus Randall Название: Biologically-Inspired Optimisation Methods ISBN: 3642101771 ISBN-13(EAN): 9783642101779 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Ghaboussi Название: Biologically Inspired Soft Computin ISBN: 1498745679 ISBN-13(EAN): 9781498745673 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Neural networks and genetic algorithms draw on the problem-solving strategies of the natural world which differ fundamentally from the mathematically-based computing methods normally used in engineering, and can solve difficult inverse problems based on reduction in disorder -- such as in computational mechanics, earthquake engineering, structural control and engineering design.
Автор: Anthony Brabazon; Michael O`Neill Название: Biologically Inspired Algorithms for Financial Modelling ISBN: 3642065732 ISBN-13(EAN): 9783642065736 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling.
In a detailed introduction, the authors explain computer trading on financial markets and the difficulties faced in financial market modelling. Then Part I provides a thorough guide to the various bioinspired methodologies neural networks, evolutionary computing (particularly genetic algorithms and grammatical evolution), particle swarm and ant colony optimization, and immune systems. Part II brings the reader through the development of market trading systems. Finally, Part III examines real-world case studies where BIA methodologies are employed to construct trading systems in equity and foreign exchange markets, and for the prediction of corporate bond ratings and corporate failures.
The book was written for those in the finance community who want to apply BIAs in financial modelling, and for computer scientists who want an introduction to this growing application domain."
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: Agust?n Guti?rrez; Santiago Marco Название: Biologically Inspired Signal Processing for Chemical Sensing ISBN: 3642101216 ISBN-13(EAN): 9783642101212 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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