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Synergetics of Measurement, Prediction and Control /

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The electronic processing of information permits the construction of intelligent systems capable of carrying out a synergy of autonomous measurement, the modeling of natural laws, the control of processes, and the prediction or forecasting of a large variety of natural phenomena. In this monograph,...

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Bibliographic Details
Main Author: Grabec, Igor
Corporate Author: SpringerLink (Online service)
Other Authors: Sachse, Wolfgang
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 1997.
Series:Springer series in synergetics ; 68.
Subjects:
Physics.
Mathematical physics.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of 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.