排斥
发表于 2025-3-23 12:46:40
1876-1100 s as an excellent reference work for researchers and graduate students working on applied time series analysis and innovative computing paradigms..978-94-007-3202-5978-90-481-8768-3Series ISSN 1876-1100 Series E-ISSN 1876-1119
modish
发表于 2025-3-23 17:51:35
Introduction,tion, will be covered. The advances of innovative computing for time series problems are also discussed, and an example of building of an innovative computing algorithm for some simulated time series is illustrated. In ., we present the real-world application of innovative computing paradigms for ti
钢笔尖
发表于 2025-3-23 18:27:32
Applied Time Series Analysis,moving average models. The autoregressive integrated moving average models are the general class of these models for forecasting a time series that can be stationarized by transformations such as differencing. In a frequency domain model, the analysis of mathematical functions or signals is conducte
Peculate
发表于 2025-3-24 01:40:02
Advances in Innovative Computing Paradigms, knowledge metadata systems are presented. The advances in visualization, design and communication are described in Section 3.4. Section 3.5 is about the advances of innovative computing for time series problems, like retrieval, automatic classification, clustering, and automatic monitoring of time
吊胃口
发表于 2025-3-24 06:18:12
Sio-Iong AoWith comprehensive introductory chapter to the time series analysis.With detailed descriptions of some current innovative computing paradigms.With detailed descriptions of some tailor-made innovative
Factorable
发表于 2025-3-24 06:51:51
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synchronous
发表于 2025-3-24 12:53:29
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相符
发表于 2025-3-24 16:37:49
https://doi.org/10.1007/978-90-481-8768-3Computing Algorithms; Discrete Fourier Transform; Dynamic Fourier Analysis; Frequency Domain; Grid Compu
CREST
发表于 2025-3-24 19:11:55
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潜伏期
发表于 2025-3-25 02:35:20
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