| 書(shū)目名稱 | Predictability of Complex Dynamical Systems |
| 編輯 | Yurii A. Kravtsov,James B. Kadtke |
| 視頻video | http://file.papertrans.cn/755/754522/754522.mp4 |
| 叢書(shū)名稱 | Springer Series in Synergetics |
| 圖書(shū)封面 |  |
| 描述 | This is a book book for researchers and practitioners interested in modeling, prediction and forecasting of natural systems based on nonlinear dynamics. It is a practical guide to data analysis and to the development of algorithms, especially for complex systems. Topics such as the characterization of nonlinear correlations in data as dynamical systems, reconstruction of dynamical models from data, nonlinear noise reduction and the limits of predicatability are discussed. The chapters are written by leading experts and consider practical problems such as signal and time series analysis, biomedical data analysis, financial analysis, stochastic modeling, human evolution, and political modeling. The book includes new methods for nonlinear filtering of complex signals, new algorithms for signal classification, and the concept of the "Global Brain". |
| 出版日期 | Book 1996 |
| 關(guān)鍵詞 | Chaos; Predictability; Synergetics; algorithms; complex systems; dynamical systems; forecasting; modeling; n |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-80254-6 |
| isbn_softcover | 978-3-642-80256-0 |
| isbn_ebook | 978-3-642-80254-6Series ISSN 0172-7389 Series E-ISSN 2198-333X |
| issn_series | 0172-7389 |
| copyright | Springer-Verlag Berlin Heidelberg 1996 |
|Archiver|手機(jī)版|小黑屋|
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