Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/85503


Title: 時間數列的模糊識別
Fuzzy Identification in Time Series
Authors: 孟慶宇
Contributors: 吳柏林
孟慶宇
Keywords: 模糊識別
時間數列
模糊規則庫
Fuzzy Identification
Time Series
Fuzzy Rule Bases
Date: 2000
Issue Date: 2016-04-18 16:31:58 (UTC+8)
Abstract: 時間數列的模式識別在近年來逐漸受到注意。因為根據時間數列所產生的走勢型態可以作為判斷事件發生與預測未來的基礎。雙線性模式是由ARMA模式所延伸,所以不易與ARMA做一區別。本文就針對這類的問題,提出解決的方法。
Identification of time series model gets more and more attention, because we can analyze the events happened and forecast what will occur in the future based on the accurate model. Bilinear time is extended by ARMA model, so it is hard to distinguish bilinear model and ARMA model. This paper focuses on this type of subject and proposes some possible way to solve.
Reference: 吳柏林(1994),時間數列的圖形識別與分類,國立編譯館館刊,第23卷,第2期,317-343。
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Description: 碩士
國立政治大學
應用數學系
Source URI: http://thesis.lib.nccu.edu.tw/record/#A2002001745
Data Type: thesis
Appears in Collections:[應用數學系] 學位論文

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