Handbook of Nature-Inspired and Innovative Computing : Integrating Classical Models with Emerging Technologies /
Contributor(s): Zomaya, Albert Y [editor.] | SpringerLink (Online service).
Material type:
BookPublisher: Boston, MA : Springer US, 2006.Description: XVI, 736 p. 211 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780387277059.Subject(s): Computer science | Special purpose computers | Computers | Algorithms | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Theory of Computation | Computation by Abstract Devices | Algorithm Analysis and Problem Complexity | Special Purpose and Application-Based SystemsDDC classification: 006.3 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK130 |
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.
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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