We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
£131.84
Springer Learning and Generalisation - Neural Networks Book
Price data last checked 11 day(s) ago - will refresh soon
We'll watch every seller, every day. One email when your price arrives.
About as cheap as it gets. The only time it was cheaper was 1 month ago.
£132 today · all-time low £131 (May 2026) · usually £131
NEW HERE?
Amazon shows you one price. We show you all of them.
Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.
WHAT'S ON THIS PAGE
when this has been cheap or pricey
where the price is heading next
all-time high & low, recent range
name your number, we'll email you
Price History & Forecast
Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.
Last 80 days • 80 data points (No recent data available)
Price Distribution
Price distribution over 80 days • 2 price levels
Price Analysis
Most common price: £132 (68 days, 85.0%)
Price range: £131 - £132
Price levels: 2 different prices over 80 days
Description
Key Features
Provides a formal mathematical theory to explain how machines learn concepts through specific examples.
Explains the mechanisms that allow neural networks to correctly predict outcomes for unseen inputs after training.
Analyzes the amount of training data required to reach specific levels of prediction accuracy.
Covers the identification of dynamical behavior in nonlinear control systems using input-output observation.
Includes updated content on support vector machines and fat-shattering dimension in this second edition.
Product Specifications
- Brand
- Springer
- Format
- paperback
- ASIN
- 1849968675
- Domain
- Amazon UK
- Release Date
- 19 October 2010
- Listed Since
- 01 October 2010
Barcode
No barcode data available
Similar Products You Might Like
Innovations in Machine Learning: Theory and Applications: 194 (Studies in Fuzziness and Soft Computing, 194)
Springer
Wiley Statistical Learning Theory - Adaptive and Cognitive Systems
Wiley
Advances in Neural Networks - ISNN 2008: 5th International Composium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, ... (Lecture Notes in Computer Science, 5264)
Springer
Advances in Neural Networks: 5th International Symposium on Neural networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I: 5263 (Lecture Notes in Computer Science, 5263)
Springer
Learning Algorithms: Theory and Applications in Signal Processing, Control and Communications
CRC Press
Neural Networks and Statistical Learning
Springer
Neural Networks and Statistical Learning
Springer
Neural Networks and Qualitative Physics: A Viability Approach
Cambridge University Press
Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
The Mathematics Of Generalization: The Proceedings of the SFI/CNLS Workshop on Formal Approaches to Supervised Learning
CRC Press
Learning to Learn
Springer
CRC Press Machine Learning: Theory to Applications Book
CRC Press
Springer Neural Networks: Computational Models and Applications
Springer
Neural Networks and Qualitative Physics: A Viability Approach
Cambridge University Press
Learning to Learn
Springer
Machine Learning: Discriminative and Generative: 755 (The Springer International Series in Engineering and Computer Science, 755)
Springer
Zeroing Neural Networks: Finite-time Convergence Design, Analysis and Applications
Wiley-IEEE Press
On-Line Learning in Neural Networks: 17 (Publications of the Newton Institute, Series Number 17)
Cambridge University Press
Nonlinear Identification and Control: A Neural Network Approach (Advances in Industrial Control)
Springer
Neural Network Learning: Theoretical Foundations
Cambridge University Press
Machine Learning: A Guide to Current Research: 12 (The Springer International Series in Engineering and Computer Science, 12)
Springer
Mathematical Perspectives on Neural Networks (Developments in Connectionist Theory Series)
Psychology Press
Machine Learning and Systems Engineering: 68 (Lecture Notes in Electrical Engineering, 68)
Springer
Artificial Neural Network Modelling: 628 (Studies in Computational Intelligence, 628)
Springer