Published 2009
by Springer in Berlin .
Written in English
Edition Notes
Includes bibliographical references.
| Statement | Mircea Gh. Negoita, Sorin Hintea |
| Series | Studies in computational intelligence -- v. 179, Studies in computational intelligence -- v. 179. |
| Contributions | Hintea, Sorin |
| Classifications | |
|---|---|
| LC Classifications | QA76.618 .N44 2009 |
| The Physical Object | |
| Pagination | xxi, 184 p. : |
| Number of Pages | 184 |
| ID Numbers | |
| Open Library | OL24486977M |
| ISBN 10 | 3540769943, 3540769951 |
| ISBN 10 | 9783540769941, 9783540769958 |
| LC Control Number | 2008942067 |
| OCLC/WorldCa | 280447010 |
Evolvable Hardware (EHW) has emerged as a novel and highly diversified bio- inspired technology and paradigm supporting the design, analysis and deployment of the high performance intelligent systems. EHW is a special case of the adaptive hardware, namely being strongly related to the Adaptive Systems (AS) and the Adaptive Hardware (AH). Bio-Inspired Technologies for the Hardware of Adaptive Systems - Real-World Implementations and Applications Book January with 13 Reads How we measure 'reads'. Get this from a library! Bio-inspired technologies for the hardware of adaptive systems: real-world implementations and applications. [Mircea Gh Negoita; Sorin Hintea] -- This text presents a selection of the field that reflects the breadth of this high technology and its terminology and applications in context of the AS/AH. It is useful for everybody interested in. Bio Inspired Technologies For The Hardware Of Adaptive Systems Real World Implementations And Applications Studies In Computational Intelligence Author: + Subject: Bio Inspired Technologies For The Hardware Of Adaptive Systems Real World Implementations And Applications Studies In Computational Intelligence.
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. Series Title: Studies in computational intelligence, vol. Responsibility: by Mircea Gh. Cite this chapter as: Negoita M.G., Hintea S. () Bio-Inspired Computational Intelligence for the Hardware of Adaptive Systems. In: Bio-Inspired Technologies for the Hardware of Adaptive Systems. Bio-Inspired Technologies for the Hardware of Adaptive Systems: Real-World Implementations and Applications (Bog, Hardback, Engelsk) - Forlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG - ISBN Biomimetic devices are designed and produced by materials, structures, and systems that are modelled on biological entities and processes. These devices are used to synthesize novel materials and their functions at the multiscale level for various applications. Molecular computing biological devices play a key role in the logical processing of the cellular machinery of all living organisms.
Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS) ;– 9. Moore, M., Suda, T.. A decentralized and self-organizing discovery mechanism. Proc of the First Annual Symposium on Autonomous Intelligent Networks and Systems May ;. Bakhouya, M.. A bio-inspired architecture for autonomic network-on-chip. Bio-Inspired Technologies for the Hardware of Adaptive Systems: Real-World Implementations and Applications by/5(4). Beyond machine learning - deep learning and bio-inspired adaptive systems During the last few years, thanks to more powerful and cheaper computers, many researchers started adopting complex (deep) neural architectures to achieve goals there were unimaginable only two decades ago. Find Bio-Inspired Technologies for the Hardware of Adaptive Systems: Real-World Implementations and Applications by Negoita et al at over 30 bookstores. Buy, rent or sell.
