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Synergetics of Measurement, Prediction and Control

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Synergetics of Measurement, Prediction and Control Synopsis

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.

About This Edition

ISBN: 9783540570486
Publication date:
Author: Igor Grabec, Wolfgang Sachse
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Hardback
Pagination: 458 pages
Series: Springer Series in Synergetics
Genres: Cybernetics and systems theory
Mathematical physics
Scientific standards, measurement etc
Statistical physics
Biophysics
Condensed matter physics (liquid state and solid state physics)
Mathematics
Mathematical theory of computation