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Synergetics of measurement, prediction, and control

Author: Igor Grabec; Wolfgang Sachse
Publisher: Berlin ; New York : Springer, ©1997.
Series: Springer series in synergetics (Unnumbered)
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Aimed at those interested in experimental work related to the adaptive modelling of natural laws and sensory-neutral networks, this text emphasizes the relationship between rigorous quantitative  Read more...

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Igor Grabec; Wolfgang Sachse
ISBN: 3540570489 9783540570486
OCLC Number: 35360625
Description: xx, 458 pages : illustrations ; 25 cm.
Contents: Contents: 1. Introduction; 2. A Quantitative Description of Nature; 3. Transducers; 4. Probability Densities; 5. Information; 6. Maximum-Entropy Principles; 7. Adaptive Modeling of Natural Laws; 8. Self-Organization and Formal Neurons; 9. Empirical Modeling by Non-Parametric Regression; 10. Linear Modeling and Invariances; 11. Modeling and Forecasting of Chaotic Processes; 12. Modeling by Neural Networks; 13. Fundamentals of Intelligent Control; 14. Self-Control in Evolution of Biological Organisms; A. Fundamentals of Probability and Statistics; B. Fundamentals of Deterministic Chaos; Subject Index.
Series Title: Springer series in synergetics (Unnumbered)
Responsibility: Igor Grabec, Wolfgang Sachse.

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