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Extracting Knowledge From Time Series 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Boris P. Bezruchko 作者

Springer

譯者

2010-9-7 出版日期

21 頁數

USD 124.00 價格

Hardcover

叢書系列

9783642126000 圖書編碼

Extracting Knowledge From Time Series 在線電子書圖書標籤: stochastic space" modeling math Deterministic "phase

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發表於2024-07-04

Extracting Knowledge From Time Series 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Extracting Knowledge From Time Series 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Extracting Knowledge From Time Series 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Extracting Knowledge From Time Series 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Extracting Knowledge From Time Series 在線電子書圖書描述

This book addresses the fundamental question on how to construct mathematical models for the evolution of dynamical systems from experimentally obtained time series. Emphasis is on chaotic signals and nonlinear modeling, with the aim to obtain a quantitative measure for the forecast of future system evolution. In particular, the reader will learn 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 alike, who seek a self-contained and thorough introduction to this subject.

Extracting Knowledge From Time Series 在線電子書下載 mobi epub pdf txt 在線電子書下載

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