Hintea / Negoita | Bio-Inspired Technologies for the Hardware of Adaptive Systems | Buch | 978-3-642-09571-9 | sack.de

Buch, Englisch, Band 179, 186 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 324 g

Reihe: Studies in Computational Intelligence

Hintea / Negoita

Bio-Inspired Technologies for the Hardware of Adaptive Systems

Real-World Implementations and Applications
Softcover Nachdruck of hardcover 1. Auflage 2009
ISBN: 978-3-642-09571-9
Verlag: Springer

Real-World Implementations and Applications

Buch, Englisch, Band 179, 186 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 324 g

Reihe: Studies in Computational Intelligence

ISBN: 978-3-642-09571-9
Verlag: Springer


Evolvable Hardware (EHW) has emerged as a sub-domain of artificial evolution represented by a design methodology (consortium of methods) involving the application of Evolutionary Algorithms (EA) to the synthesis of digital and analogue electronic circuits and systems. Nevertheless, the most benefit for the society and indeed most revolutionizing application of EA is its hardware implementation leading to the EHW. These new EA based methodologies led to a new type of machines that is evolved to attain a desired behaviour, which means they have a behavioural computational intelligence. EHW is a special case of the adaptive hardware, namely being strongly related to the Adaptive Systems (AS) and the Adaptive Hardware (AH). The book presents a careful selection of the field that very well reflects the breadth of this high technology and its terminology and applications in context of the AS/AH. The harmonious symbiosis of the engineering approach and the accurate scientific methodology features the aspects of highly relevant and practical design principles governing the development of EHW and its connections with AS/AH. This book is both attractive and useful for everybody interested in the design and analysis of EHW in context of AS/AH and implementation of real time adaptive hardware hybrid intelligent systems.
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Zielgruppe


Research

Weitere Infos & Material


Bio-Inspired Computational Intelligence for the Hardware of Adaptive Systems.- Advanced Hardware Implementation of the Computational Intelligence and Intelligent Technologies.- Bio-Inspired Analogue and Digital Circuits and Their Applications.



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