- Full Description
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.
- Table of Contents
Table of Contents
- 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.
- 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 On
- Application Domains.
- Pervasive Computing: Enabling Technologies and Challenges.
- Information Display.
- Noise in Foreign Exchange Markets.
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