Titlebook: Applied Time Series Analysis and Innovative Computing; Sio-Iong Ao Book 2010 Springer Science+Business Media B.V. 2010 Computing Algorithm

排斥

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

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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

鋼筆尖

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

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

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

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https://doi.org/10.1007/978-90-481-8768-3Computing Algorithms; Discrete Fourier Transform; Dynamic Fourier Analysis; Frequency Domain; Grid Compu

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