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Search Symbol (Half-width) Description of Search Symbols
Space "AND" indicates the intertwining of key terms used in a search
Double Quotation Marks ("") ( " " ) Double quotation marks indicate the beginning and end of a phrase, and the search will only include terms that appear in the same order of those within the quotations. Example: "image process" : " image process "
? Indicates a variable letter. Entering two ? will indicate two variable letters, and so on. Example: "Appl?", search results will yield apple, apply… e , appl y … ( (often used to English word searches) )
* Indicates an unlimited number of variable letters to follow, from 1~n. Example: Enter "appl*", search results will yield apple, apples, apply, applied, application…(often used in English word searches) e , appl es , appl y , appl ied , appl ication … ( (often used to English word searches) )

Boolean logic combinations of key words is a skill used to expand or refine search parameters.
(1) AND (1) AND: Refines search parameters
(2) OR (2) OR: Expands search parameters (3) NOT: Excludes irrelevant parameters


DOI stands for Digital Object Identifier ( D igital O bject I dentifier ) ,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.

Using DOI as a persistent link

To create a persistent link, add「」 「 」 before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: 10.5297/ser.1201.002
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.

Cite a document with DOI

When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.

DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI ) 。

Abstract 〈TOP〉
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Reference ( 51 ) 〈TOP〉
  1. [1] Butler, Karen L. and A. James Momoh, "Robust features selection scheme for fault diagnosis in an electric power distribution system," Canadian Conference Electrical and Computer Engineering (Cat. No. 93TH0590-0), Vol.1, pp. 209-213, 1993.
  2. [2] Carolyn M. et al., "An Investigation of Machine Learning Based Prediction Systems," The Journal of Systems and Software pp. 23-29, 2000.
  3. [3] Dominguez, S. et al., "A Neural network Based Quality Control System for Steel Strip Manufacturing," IFAC Artificial Intelligence in Real Time Control, Valencia, Spain, pp. 185-190, 1994.
  4. [4] He, Zhenyz et al., "Neural network and its application on machinery fault diagnosis," IEEE International Conference on Systems Engineering (Cat. No. 92CH3179-9), pp. 576-579, 1992.
  5. [5] Hebb, D. O., Organization of behavior, Wiley, New York, 1949.
Times Cited (11) 〈TOP〉
  1. 潘伊芳(2012)。建構趨勢切割法與支撐向量迴歸於股票買賣時機之預測。元智大學資訊管理學系學位論文。2012。1-148。 
  2. 張凱婷(2011)。應用支撐向量迴歸及模糊規則於股價買賣點之預測。元智大學資訊管理學系學位論文。2011。1-67。 
  3. 賴志銘(2009)。叢集式類神經網路在股價轉折點預測之應用。元智大學資訊管理學系學位論文。2009。1-91。 
  4. 林俊宇(2008)。建構動態時間校正結合線段切割法於股價買賣點之預測。元智大學資訊管理學系學位論文。2008。1-168。 
  5. 張曉青(2007)。建構智慧型線段切割法於股價買賣點之預測。元智大學工業工程與管理學系學位論文。2007。1-136。 
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