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Intelligent Measurements, Prediction and Control Book

Intelligent Measurements, Prediction and Control
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Intelligent Measurements, Prediction and Control, 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, Intelligent Measurements, Prediction and Control
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  • Intelligent Measurements, Prediction and Control
  • Written by author Igor Grabec, Wolfgang Sachse
  • Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1997/02/01
  • 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
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Book Categories

Authors

1 Introduction 1
2 A Quantitative Description of Nature 11
3 Transducers 51
4 Probability Densities 99
5 Information 125
6 Maximum Entropy Principles 137
7 Adaptive Modeling of Natural Laws 167
8 Self-Organization and Formal Neurons 185
9 Modeling by Non-Parametric Regression 203
10 Linear Modeling and Invariances 243
11 Modeling and Forecasting of Chaotic Processes 277
12 Modeling by Neural Networks 309
13 Fundamentals of Intelligent Control 333
14 Self-Control and Biological Evolution 391
A Fundamentals of Probability and Statistics 401
B Fundamentals of Deterministic Chaos 417
References 429
Index 447


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Intelligent Measurements, Prediction and Control, 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, Intelligent Measurements, Prediction and Control

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Intelligent Measurements, Prediction and Control, 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, Intelligent Measurements, Prediction and Control

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