000 03552nam a22003495i 4500
001 278731
003 MX-SnUAN
005 20170705134201.0
007 cr nn 008mamaa
008 150903s2006 xxu| o |||| 0|eng d
020 _a9780387277059
_9978-0-387-27705-9
024 7 _a10.1007/0387277056
_2doi
035 _avtls000330452
039 9 _a201509030722
_bVLOAD
_c201404120446
_dVLOAD
_c201404090228
_dVLOAD
_c201401311341
_dstaff
_y201401291455
_zstaff
_wmsplit0.mrc
_x872
050 4 _aQ334-342
100 1 _aZomaya, Albert Y.
_eeditor.
_9302548
245 1 0 _aHandbook of Nature-Inspired and Innovative Computing :
_bIntegrating Classical Models with Emerging Technologies /
_cedited by Albert Y. Zomaya.
264 1 _aBoston, MA :
_bSpringer US,
_c2006.
300 _aXVI, 736 páginas,
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387405322
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/0-387-27705-6
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c278731
_d278731