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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/14821

Title: タイのキャッサバ輸出予測に応用した時系列データ予測のハイブリッドモデルに関する研究
Authors: Pannakkong, Warut
Authors(alternative): ぱんなっこーん, わるっと
Keywords: hybrid time series forecasting model
autoregressive integrated moving average (ARIMA)
artificial neural network (ANN)
k-means
discrete wavelet transform (DWT)
Issue Date: Sep-2017
Description: Supervisor:Huynh Nam Van
知識科学研究科
博士
Title(English): A study on hybrid models for prediction of time series data with application to forecasting Thailand's cassava export
Authors(English): Pannakkong, Warut
Language: eng
URI: http://hdl.handle.net/10119/14821
Academic Degrees and number: 甲第1006号
Degree-granting date: 2017-09-22
Degree name: 博士(知識科学)
Degree-granting institutions: 北陸先端科学技術大学院大学
Appears in Collections:D-KS. 2017年度(H29) (Jun.2017 - Mar.2018)

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abstract.pdf英文要旨143KbAdobe PDFView/Open
paper.pdf本文2102KbAdobe PDFView/Open
summary.pdf内容の要旨及び論文審査の結果の要旨269KbAdobe PDFView/Open

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