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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〉
Parallel Abstract 〈TOP〉
Reference ( 58 ) 〈TOP〉
  1. 1. Ahmed, M. A., Saliu, M. O., AIGhamdi, J., Adaptive fuzzy logic-based framework for software development effort prediction, Information and Software Technology, 47, pp. 31–48, 2005.
  2. 2. Akira, K., Suzuki, A., Takahama, Y., Prediction of coronal size of third molars by factor and multiple regression analyses, American Journal of Orthodontics and Dentofacial Orthopedics, 109(1), pp.79-85, 1996.
  3. 3. Akinbinu, V. A., Prediction of fracture gradient from formation pressures and depth using correlation and stepwise multiple regression techniques, Journal of Petroleum Science and Engineering, 72, pp.10–17, 2010.
  4. 4. Alvarez, G. M., Babuska, R., Fuzzy model for the prediction of unconfined compressive strength of rock samples, International Journal of Rock Mechanics and Mining Sciences, 36, pp. 339-349, 1999.
  5. 5. Benardos, P. G., Vosniak, G.. C., Prediction of surface roughness in CNC face milling using neural networks and Taguchi’s design of experiments, Robotics and Computer Integrated Manufacturing, 18, pp. 343–354, 2002.
Times Cited (3) 〈TOP〉
  1. 陳久弘(2012)。運用灰關聯因子分析與類神經網路於銑削表面粗糙度即時預測系統。中原大學工業工程研究所學位論文。2012。1-75。 
  2. 吳士昌(2011)。資料探勘輔助類神經演算法發展表面粗糙度預測系統之研究。中原大學工業與系統工程研究所學位論文。2011。1-86。
  3. 張黃傑(2012)。平面銑削之灰色即時可調式學習表面粗糙度預測系統開發。中原大學工業與系統工程研究所學位論文。2012。1-82。
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