000			03757nam a22004695i 4500
001			978-0-387-27705-9
003			DE-He213
005			20250710083939.0
007			cr nn 008mamaa
008			100301s2006 xxu| s |||| 0|eng d
020			_a9780387277059 _a99780387277059
024	7		_a10.1007/0-387-27705-6 _2doi
082	0	4	_a006.3 _223
100	1		_aZomaya, Albert Y. _eeditor.
245	1	0	_aHandbook of Nature-Inspired and Innovative Computing _h[recurso electrónico] : _bIntegrating Classical Models with Emerging Technologies / _cedited by Albert Y. Zomaya.
264		1	_aBoston, MA : _bSpringer US, _c2006.
300			_aXVI, 736 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aModels -- Changing Challenges for Collaborative Algorithmics -- Arm++: A Hybrid Association Rule Mining Algorithm -- Multiset Rule-Based Programming Paradigm for Soft-Computing in Complex Systems -- Evolutionary Paradigms -- Artificial Neural Networks -- Swarm Intelligence -- Fuzzy Logic -- Quantum Computing -- Enabling Technologies -- Computer Architecture -- A Glance at VLSI Optical Interconnects: from the Abstract Modelings of the 1980s to Today's MEMS Implementations (A Survey Report) -- Morphware and Configware -- Evolving Hardware -- Implementing Neural Models in Silicon -- Molecular and Nanoscale Computing and Technology -- Trends in High-Performance Computing -- Cluster Computing: High-Performance, High-Availability, and High-Throughput Processing on a Network of Computers -- Web Service Computing: Overview and Directions -- Predicting Grid Resource Performance Online -- Application Domains -- Pervasive Computing: Enabling Technologies and Challenges -- Information Display -- Bioinformatics -- Noise in Foreign Exchange Markets.
520			_aAs computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.
650		0	_aCOMPUTER SCIENCE.
650		0	_aSOFTWARE ENGINEERING.
650		0	_aINFORMATION THEORY.
650		0	_aCOMPUTER SOFTWARE.
650		0	_aARTIFICIAL INTELLIGENCE.
650	1	4	_aCOMPUTER SCIENCE.
650	2	4	_aARTIFICIAL INTELLIGENCE (INCL. ROBOTICS).
650	2	4	_aTHEORY OF COMPUTATION.
650	2	4	_aCOMPUTATION BY ABSTRACT DEVICES.
650	2	4	_aALGORITHM ANALYSIS AND PROBLEM COMPLEXITY.
650	2	4	_aSPECIAL PURPOSE AND APPLICATION-BASED SYSTEMS.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387405322
856	4	0	_uhttp://dx.doi.org/10.1007/0-387-27705-6 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SCS
942			_2ddc _cER
999			_c56732 _d56732