Synergetics of measurement, prediction and control
By: by Igor Grabec, Wolfgang Sachse
Contributors: Sachse, Wolfgang
Series: Springer Series in Synergetics, 0172-7389 -- 68; Springer series in synergetics -- 68.
Publisher: Springer Berlin Heidelberg
Published: 1997
Place of publication: Berlin
Language: eng
Format: [electronic resource]
Number of pages: 458
ISBN-13: 9783642603365
Description: 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, a statistical description of natural phenomena is used to develop an information processing system capable of modeling non-linear relationships between sensory data. The system, based on self-organized, optimal preservation of empirical information, applies these relationships for prediction and adaptive control. This monograph is written for students, scientists and engineers in academia and industry who are interested in experimental work related to the adaptive modeling of natural laws, the development of sensory-neural networks, intelligent control, synergetics and informatics. No specific knowledge of advanced mathematics is presupposed. Examples taken from physics, engineering, medicine and economics demonstrate the applicability of such intelligent systems.
Table of contents: title: 1. Introduction; title: 2. A Quantitative Description of Nature; title: 3. Transducers; title: 4. Probability Densities; title: 5. Information; title: 6. Maximum-Entropy Principles; title: 7. Adaptive Modeling of Natural Laws; title: 8. Self-Organization and Formal Neurons; title: 9. Empirical Modeling by Non-Parametric Regression; title: 10. Linear Modeling and Invariances; title: 11. Modeling and Forecasting of Chaotic Processes; title: 12. Modeling by Neural Networks; title: 13. Fundamentals of Intelligent Control; title: 14. Self-Control in Evolution of Biological Organisms; title: A. Fundamentals of Probability and Statistics; title: B. Fundamentals of Deterministic Chaos; title: Subject Index.