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Author:   Louis A. Wehenkel
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 1998
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.486kg
ISBN:  

9781461374893

ISBN 10:   1461374898
Pages:   280
Publication Date:   14 October 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction.- 1.1 Historical perspective on automatic learning.- 1.2 An automatic learning tool-box.- I Automatic Learning Methods.- 2. Automatic Learning is Searching a Model Space.- 3. Statistical Methods.- 4. Artificial Neural Networks.- 5. Machine Learning.- 6. Auxiliary Tools and Hybrid Techniques.- II Application of Automatic Learning to Security Assessment.- 7. Framework for Applying Automatic Learning to DSA.- 8. Overview of Security Problems.- 9. Security Information Data Bases.- 10. A Sample of Real-Life Applications.- 11. Added Value of Automatic Learning.- 12. Future Orientations.- III Automatic Learning Applications in Power Systems.- 13. Overview of Applications by Type.- References.

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