Bernardete Ribeiro, Rudolf F. Albrecht, Andrej Dobnikar, David W. Pearson, Nigel C. Steele – Adaptive and Natural Computing Algorithms
November 14, 2011 by: diemannschaft

Bernardete Ribeiro, Rudolf F. Albrecht, Andrej Dobnikar, David W. Pearson, Nigel C. Steele – Adaptive and Natural Computing Algorithms
Publisher: S?ringer | 2005-05-03 | ISBN: 3211249346 | DJVU | 560 pages | 10.93 MB
The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational biology contributions are no less compelling. A wide selection of contributions report applications of neural networks to process engineering, robotics and control. Contributions also abound in the field of evolutionary computation particularly in combinatorial and optimization problems. Many papers are dedicated to machine learning and heuristics, hybrid intelligent systems and soft computing applications. Some papers are devoted to quantum computation. In addition, kernel based algorithms, able to solve tasks other than classification, represent a revolution in pattern recognition bridging existing gaps. Further topics are intelligent signal processing and computer vision.
Download

http://www.downloadine.net/file/3452814465

Password default : shytex
Upgrade Premium Member and download at incredible speed! "Bernardete Ribeiro, Rudolf F. Albrecht, Andrej Dobnikar, David W. Pearson, Nigel C. Steele – Adaptive and Natural Computing Algorithms"
Report Dead Link
Please leave a comment to report dead links, so that someone else may update new links.
Related Ebook Video Training
- Global Optimization Algorithms Theory and Application
- Applications of Soft Computing: Updating the State of the Art (Advances in Intelligent and Soft Computing)
- Intelligent and Evolutionary Systems (Studies in Computational Intelligence)
- Evolutionary Algorithms
- Bioinspired Computation in Combinatorial Optimization: Algorithms and Their Computational Complexity
- Fuzzy Neural Intelligent Systems: Mathematical Foundation and the Applications in Engineering
- Cecilia Di Chio, “Applications of Evolutionary Computation: EvoApplications 2011″
- Intelligent System Applications in Power Engineering: Evolutionary Programming and Neural Networks
- Ricardo H.C. Takahashi, Kalyanmoy Deb, “Evolutionary Multi-Criterion Optimization”
- Computational Intelligence Paradigms




