Neural networks for applied sciences and engineering : from fundamentals to complex pattern recognition /
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL:
Auerbach,
c2007
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| Online Access: | http://www.loc.gov/catdir/toc/ecip0610/2006007625.html |
Table of Contents:
- 1. From data to models : complexity and challenges in understanding biological, ecological, and natural systems
- 2. Fundamentals of neural networks and models for linear data analysis
- 3. Neural networks for nonlinear pattern recognition
- 4. Learning of nonlinear patterns by neural networks
- 5. Implementation of neural network models for extracting reliable patterns from data
- 6. Data exploration, dimensionality reduction, and feature extraction
- 7. Assessment of uncertainty of neural network models using Bayesian statistics
- 8. Discovering unknown clusters in data with self-organizing maps
- 9. Neural networks for time-series forecasting