Extracting knowledge from time series : an introduction to nonlinear empirical modeling
This book addresses the fundamental question of how to construct mathematical models for the evolution of dynamical systems from experimentally-obtained time series. It places emphasis on chaotic signals and nonlinear modeling and discusses different approaches to the forecast of future system evolu...
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| 主要な著者: | , |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2010. |
| シリーズ: | Springer Series in Synergetics
|
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Extracting knowledge from time series, an introduction to nonlinear empirical modeling, Boris P. Bezruchko, Dmitry A. Smirnov, 2010, Heidelberg, Springer, 1 vol. (xxi, 405 pages), Springer complexity, 978-3-642-12600-0 • Extracting knowledge from time series, an introduction to nonlinear empirical modeling, Boris P. Bezruchko, Dmitry A. Smirnov, 2010, Heidelberg, Springer, 1 vol. (xxi, 405 pages), Springer complexity, 978-3-642-12600-0 • Extracting Knowledge From Time Series, Texte imprimé, 9783642264825 • Extracting Knowledge From Time Series, Texte imprimé, 9783642126024 |
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| 100 | 1 | |a Bezruchko, Boris P. | |
| 245 | 1 | 0 | |a Extracting knowledge from time series : |b an introduction to nonlinear empirical modeling |c by Boris P. Bezruchko, Dmitry A. Smirnov. |
| 250 | |a 1st ed. 2010. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Series in Synergetics |x 2198-333X | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Models And Forecast The Concept of Model. What is Remarkable in Mathematical Models Two Approaches to Modelling and Forecast Dynamical (Deterministic) Models of Evolution Stochastic Models of Evolution Modeling From Time Series Problem Posing in Modelling from Data Series Data Series as a Source for Modelling Restoration of Explicit Temporal Dependencies Model Equations: Parameter Estimation Model Equations: Restoration of Equivalent Characteristics Model Equations: Black Box Reconstruction Practical Applications of Empirical Modelling Identification of Directional Couplings Outdoor Examples | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book addresses the fundamental question of how to construct mathematical models for the evolution of dynamical systems from experimentally-obtained time series. It places emphasis on chaotic signals and nonlinear modeling and discusses different approaches to the forecast of future system evolution. In particular, it teaches readers how to construct difference and differential model equations depending on the amount of a priori information that is available on the system in addition to the experimental data sets. This book will benefit graduate students and researchers from all natural sciences who seek a self-contained and thorough introduction to this subject | ||
| 700 | 1 | |a Smirnov, Dmitry A. |4 aut | |
| 776 | 0 | |0 194808645 |t Extracting knowledge from time series |o an introduction to nonlinear empirical modeling |f Boris P. Bezruchko, Dmitry A. Smirnov |d 2010 |c Heidelberg |n Springer |p 1 vol. (xxi, 405 pages) |s Springer complexity |z 978-3-642-12600-0 | |
| 776 | 0 | |0 194808645 |t Extracting knowledge from time series |o an introduction to nonlinear empirical modeling |f Boris P. Bezruchko, Dmitry A. Smirnov |d 2010 |c Heidelberg |n Springer |p 1 vol. (xxi, 405 pages) |s Springer complexity |z 978-3-642-12600-0 | |
| 776 | 0 | |t Extracting Knowledge From Time Series |b Texte imprimé |z 9783642264825 | |
| 776 | 0 | |t Extracting Knowledge From Time Series |b Texte imprimé |z 9783642126024 | |
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