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標(biāo)題: Titlebook: Uncertainty Forecasting in Engineering; Bernd M?ller,Uwe Reuter Book 2007 Springer-Verlag Berlin Heidelberg 2007 Forecasting.Fuzzy Data.Fu [打印本頁]

作者: onychomycosis    時間: 2025-3-21 18:29
書目名稱Uncertainty Forecasting in Engineering影響因子(影響力)




書目名稱Uncertainty Forecasting in Engineering影響因子(影響力)學(xué)科排名




書目名稱Uncertainty Forecasting in Engineering網(wǎng)絡(luò)公開度




書目名稱Uncertainty Forecasting in Engineering網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Uncertainty Forecasting in Engineering被引頻次




書目名稱Uncertainty Forecasting in Engineering被引頻次學(xué)科排名




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書目名稱Uncertainty Forecasting in Engineering年度引用學(xué)科排名




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書目名稱Uncertainty Forecasting in Engineering讀者反饋學(xué)科排名





作者: Coronation    時間: 2025-3-21 21:19
Book 2007correctly and completely retain data uncertainty in forecasting work. The book presents numerical methods which permit successful forecasting not only in engineering but also in many other ?elds such as environmental science or economics, assuming of course that a suitable sequence of observed data
作者: 繼而發(fā)生    時間: 2025-3-22 00:26

作者: 持久    時間: 2025-3-22 07:21
theorie und die Theorie der Markoff-Ketten (Kapitel 2 und 3). Wichtige Anwendungen davon treten bei den Warteschlangensystemen (Kapitel4) und der dyna- mischen Optimierung (Kapitel 5) auf. Von vorrangiger, praktischer Bedeutung ist die numerische Behandlung der stochastischen Probleme des Operations Research.978-3-519-02342-5978-3-663-11528-1
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978-3-642-07205-5Springer-Verlag Berlin Heidelberg 2007
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Analysis of Time Series Comprised of Uncertain Data,The aim of time series analysis is to recognize and model structural features in a sequence of observed values. In the following chapter various commonly applied methods of classical time series analysis are extended to deal with time series comprised of fuzzy data.
作者: AORTA    時間: 2025-3-23 09:15
Bernd M?ller,Uwe ReuterFuzzy time series can be applied in many fields in engineering like environmental engineering or civil engineering.Two simulation-based important forecasting strategies are explained: forecasting base
作者: Rodent    時間: 2025-3-23 09:50
Mathematical Description of Uncertain Data,les couple the uncertainty models of fuzziness and randomness. The underlying principles of this theory are presented in [5, 27, 28, 36, 44, 53, 66]. The numerical representation is based on the new .-discretization and is a prerequisite for the exact numerical reproduction of the uncertain values of a time series.
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作者: HILAR    時間: 2025-3-23 19:31
Mathematical Description of Uncertain Data,merical representation especially suitable for uncertainty forecasting are developed. The mathematical description of uncertain data is limited to these basic concepts, which are essential for forecasting by means of fuzzy random processes and artificial neural networks Fuzzy set theory forms the ma
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作者: 雪白    時間: 2025-3-24 07:22
Book 2007 techniques, time series or arti?cial neural netwoks o?er a rational means of achieving this. A precondition for the latter is the availability of a sequence of observed values from the past whose temporal classi?cation permits the deduction of attributes necessary for forecasting purposes. The subj
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Introduction,on roads, snow depths measured over many years, the height of wheat stalks, the diameter of tree trunks or the production output in industry. The observed values, i.e. settlements, traffic loads, snow depths etc., exist for a past observation period. Under certain conditions these constitute a time series.
作者: adduction    時間: 2025-3-24 22:37
rtant forecasting strategies are explained: forecasting baseForecasting is fascinating. Who wouldn’t like to cast a glimpse into the future? Far removed from metaphysics, mathematical methods such as time-lapse techniques, time series or arti?cial neural netwoks o?er a rational means of achieving th
作者: 發(fā)電機(jī)    時間: 2025-3-25 00:22
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