TY  - BOOK
AU  - 
AU  - 
ED  - SpringerLink (Online service)
TI  - Bio-Inspired Technologies for the Hardware of Adaptive Systems: Real-World Implementations and Applications 
T2  - Studies in Computational Intelligence,
SN  - 9783540769958
AV  - TA329-348 
U1  - 519 23
PY  - 2009///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Engineering
KW  - Computer hardware
KW  - Artificial intelligence
KW  - Engineering mathematics
KW  - Appl.Mathematics/Computational Methods of Engineering
KW  - Artificial Intelligence (incl. Robotics)
KW  - Computer Hardware
N1  - 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; ZDB-2-ENG
N2  - 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). The discipline of EHW brings together hardware implementation of the main technologies of CI including fuzzy sets, neural networks, and evolutionary optimization. EHW systems also cover novel areas as Artificial Immune Systems and DNA computing. The strength of EHW hinges on the synergy between these technologies supported by the advanced analogue and digital programmable circuits. The advanced programmable circuits confer the suitable hardware environment for a CI implementation from day to day more close to the intelligence of a human being. The authoritative coverage of the area is performed through a clear and well-organized way of presenting the fundamentals of key methods. The book presents in a thorough way almost an entire range of EHW/AH intelligent systems, and what is very important for practitioners, it also provides several real-life, working, implementations of EHW/AH systems. As a result the book can serve as a valuable introduction to EHW/AH intelligent systems, and as a guide of how to use them for solving real problems. As such it has a good chance of becoming one of the most cited references in the area
UR  - http://dx.doi.org/10.1007/978-3-540-76995-8
ER  -