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£91.75
Springer Neural Networks: Computational Models and Applications
9783540692256
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Price distribution over 82 days • 3 price levels
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Description
Key Features
Covers essential learning algorithms for feed-forward neural networks to build a strong theoretical foundation.
Explores the various dynamical properties found in recurrent neural networks for advanced study.
Provides insights into winner-take-all networks and their role in broad computational intelligence manifolds.
Addresses practical applications in pattern recognition, image segmentation, and uniform approximation.
Discusses complex problem-solving including constrained optimization and NP-hard problems.
Delivers a quick and insightful understanding of diverse computational models for students and professionals.
Product Specifications
- Brand
- Springer
- Model
- 9783540692256
- Format
- hardcover
- ASIN
- 3540692258
- Domain
- Amazon UK
- Release Date
- 12 March 2007
- Listed Since
- 24 January 2007
Barcode
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