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Handbook of Nature-Inspired and Innovative Computing Integrating Classical Models with Emerging Technologies /
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...
| Clasificación: | Libro Electrónico |
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| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2006.
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| Edición: | 1st ed. 2006. |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.