Synergetics of Measurement, Prediction and Control
Author:   Igor Grabec ,  Wolfgang Sachse
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   illustrated edition
Volume:   v. 68
ISBN:  

9783540570486


Pages:   478
Publication Date:   February 1997
Format:   Hardback
Availability:   Out of stock   Availability explained
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Synergetics of Measurement, Prediction and Control


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Overview

Aimed at those interested in experimental work related to the adaptive modelling of natural laws, informatics, sensory-neutral networks, intelligent control and synergetics, this text emphasizes the relationship between rigorous quantitative modelling of natural phenomena based on physical laws and an empirical modelling based on statistics. Emphasis is also placed on general information processing systems capable of automatically modelling the relationships between quantitative sensory sata. Applications to solve real measurement problems and examples are also included.

Full Product Details

Author:   Igor Grabec ,  Wolfgang Sachse
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   illustrated edition
Volume:   v. 68
Weight:   0.835kg
ISBN:  

9783540570486


ISBN 10:   3540570489
Pages:   478
Publication Date:   February 1997
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of 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.

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