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Table of contents (14 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Synergetics of Measurement, Prediction and Control
Authors: Igor Grabec, Wolfgang Sachse
Series Title: Springer Series in Synergetics
DOI: https://doi.org/10.1007/978-3-642-60336-5
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1997
Softcover ISBN: 978-3-642-64359-0Published: 15 November 2011
eBook ISBN: 978-3-642-60336-5Published: 06 December 2012
Series ISSN: 0172-7389
Series E-ISSN: 2198-333X
Edition Number: 1
Number of Pages: XX, 458
Topics: Mathematical Methods in Physics, Numerical and Computational Physics, Simulation, Measurement Science and Instrumentation, Complex Systems, Biological and Medical Physics, Biophysics, Phase Transitions and Multiphase Systems