找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Extracting Knowledge From Time Series; An Introduction to N Boris P. Bezruchko,Dmitry A. Smirnov Book 2010 Springer-Verlag Berlin Heidelber

[復(fù)制鏈接]
查看: 10902|回復(fù): 54
樓主
發(fā)表于 2025-3-21 18:01:42 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Extracting Knowledge From Time Series
副標(biāo)題An Introduction to N
編輯Boris P. Bezruchko,Dmitry A. Smirnov
視頻videohttp://file.papertrans.cn/320/319956/319956.mp4
概述Useful as a self-study guide.Gives a modern approach and practical examples.Written by well known authors having made many contribution to the field.Includes supplementary material:
叢書名稱Springer Series in Synergetics
圖書封面Titlebook: Extracting Knowledge From Time Series; An Introduction to N Boris P. Bezruchko,Dmitry A. Smirnov Book 2010 Springer-Verlag Berlin Heidelber
描述Mathematical modelling is ubiquitous. Almost every book in exact science touches on mathematical models of a certain class of phenomena, on more or less speci?c approaches to construction and investigation of models, on their applications, etc. As many textbooks with similar titles, Part I of our book is devoted to general qu- tions of modelling. Part II re?ects our professional interests as physicists who spent much time to investigations in the ?eld of non-linear dynamics and mathematical modelling from discrete sequences of experimental measurements (time series). The latter direction of research is known for a long time as “system identi?cation” in the framework of mathematical statistics and automatic control theory. It has its roots in the problem of approximating experimental data points on a plane with a smooth curve. Currently, researchers aim at the description of complex behaviour (irregular, chaotic, non-stationary and noise-corrupted signals which are typical of real-world objects and phenomena) with relatively simple non-linear differential or difference model equations rather than with cumbersome explicit functions of time. In the second half of the twentieth century
出版日期Book 2010
關(guān)鍵詞Stochastic model; Stochastic models; chaotic signals; model equations; modeling; modeling and forecast; no
版次1
doihttps://doi.org/10.1007/978-3-642-12601-7
isbn_softcover978-3-642-26482-5
isbn_ebook978-3-642-12601-7Series ISSN 0172-7389 Series E-ISSN 2198-333X
issn_series 0172-7389
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

書目名稱Extracting Knowledge From Time Series影響因子(影響力)




書目名稱Extracting Knowledge From Time Series影響因子(影響力)學(xué)科排名




書目名稱Extracting Knowledge From Time Series網(wǎng)絡(luò)公開度




書目名稱Extracting Knowledge From Time Series網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Extracting Knowledge From Time Series被引頻次




書目名稱Extracting Knowledge From Time Series被引頻次學(xué)科排名




書目名稱Extracting Knowledge From Time Series年度引用




書目名稱Extracting Knowledge From Time Series年度引用學(xué)科排名




書目名稱Extracting Knowledge From Time Series讀者反饋




書目名稱Extracting Knowledge From Time Series讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:25:25 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:59:35 | 只看該作者
地板
發(fā)表于 2025-3-22 06:57:07 | 只看該作者
Problem Posing in Modelling from Data Seriesd represent them with a scheme (Fig. 5.1). The procedure is started with consideration of available information about an object (including previously obtained experimental data from the object or similar ones, a theory developed for the class of objects under investigation and intuitive ideas) from
5#
發(fā)表于 2025-3-22 09:41:45 | 只看該作者
6#
發(fā)表于 2025-3-22 14:48:07 | 只看該作者
7#
發(fā)表于 2025-3-22 17:32:40 | 只看該作者
8#
發(fā)表于 2025-3-22 23:52:06 | 只看該作者
Model Equations: “Black Box” Reconstructiontriguing thing is that a model capable of reproducing an observed behaviour or predicting further evolution should be obtained only from an observed time series, i.e. “from nothing” at first sight. Chances for a success are not large. Even more so, a “good” model would become a valuable tool to char
9#
發(fā)表于 2025-3-23 04:33:41 | 只看該作者
Identification of Directional Couplingsocesses under study. The problem of . is encountered in multiple fields including physics (Bezruchko et al., 2003), geophysics (Maraun and Kurths, 2005; Mokhov and Smirnov, 2006, 2008; Mosedale et al., 2006; Palus and Novotna, 2006; Verdes, 2005; Wang et al., 2004), cardiology (Rosenblum et al., 200
10#
發(fā)表于 2025-3-23 08:56:38 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-24 12:22
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
潮安县| 城步| 呈贡县| 彝良县| 岳阳县| 彩票| 天门市| 独山县| 辛集市| 横峰县| 江油市| 清徐县| 丰宁| 若尔盖县| 陆川县| 琼海市| 常熟市| 黔南| 乡城县| 康定县| 辰溪县| 连云港市| 屯门区| 连江县| 平山县| 长沙市| 措勤县| 德惠市| 巧家县| 宝坻区| 无锡市| 安顺市| 微博| 门源| 长兴县| 德安县| 兴山县| 潮安县| 罗田县| 双峰县| 漯河市|