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Extracting Knowledge From Time Series 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Boris P. Bezruchko 作者

Springer

译者

2010-9-7 出版日期

21 页数

USD 124.00 价格

Hardcover

丛书系列

9783642126000 图书编码

Extracting Knowledge From Time Series 在线电子书图书标签: stochastic space" modeling math Deterministic "phase

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Extracting Knowledge From Time Series 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Extracting Knowledge From Time Series 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Extracting Knowledge From Time Series 在线电子书图书描述

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.

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