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03849nam a22005175i 4500 |
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978-0-387-27705-9 |
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20151204173534.0 |
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100301s2006 xxu| s |||| 0|eng d |
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|a 9780387277059
|9 978-0-387-27705-9
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|a 10.1007/0-387-27705-6
|2 doi
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|a Q334-342
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|a TJ210.2-211.495
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|a COM004000
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|a 006.3
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|a Handbook of Nature-Inspired and Innovative Computing
|h [electronic resource] :
|b Integrating Classical Models with Emerging Technologies /
|c edited by Albert Y. Zomaya.
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|a Boston, MA :
|b Springer US,
|c 2006.
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|a XVI, 736 p. 211 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a Models -- 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.
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|a As 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.
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|a Computer science.
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650 |
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|a Special purpose computers.
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650 |
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|a Computers.
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|a Algorithms.
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650 |
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|a Artificial intelligence.
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|a Computer Science.
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650 |
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|a Artificial Intelligence (incl. Robotics).
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650 |
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|a Theory of Computation.
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650 |
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|a Computation by Abstract Devices.
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650 |
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|a Algorithm Analysis and Problem Complexity.
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650 |
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|a Special Purpose and Application-Based Systems.
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|a Zomaya, Albert Y.
|e editor.
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710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9780387405322
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|u http://dx.doi.org/10.1007/0-387-27705-6
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SCS
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950 |
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|a Computer Science (Springer-11645)
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