INTELLIGENCE FOR NONLINEAR DYNAMICS AND SYNCHRONISATION
Over the past years, the appropriateness of Computational Intelligence (CI) techniques in modeling and optimization tasks pertaining to complex nonlinear dynamic systems has become indubitable, as attested by a large number of studies reporting on the successful application of CI models in nonlinear...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
Paris
Atlantis Press
2010, 2010
|
| Edition: | 1st ed. 2010 |
| Series: | Atlantis Computational Intelligence Systems
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Computational Intelligence
- Adaptive Computational Intelligence for Dynamical Systems
- Mealy Finite State Machines: A Quantum Inspired Evolutionary Approach
- Parallel Implementations for Computing the False Nearest Neighbors Method
- Pattern Recognition and Nonlinear Systems Techniques
- Modeling Gene Expression Dynamics by Kernel Auto-RegressiveModels for Time-Course Microarray Data
- Investigating the Usability of SIFT Features in Biometrics
- Super Resolution Challenges and Rewards
- Application of CI in Nonlinear Dynamic Systems
- Financial Markets Analysis: Can Nonlinear Science Contribute?
- Nonlinear Structural Dynamics and Seismic Control Synchronization
- Clustering In VANETs