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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 ( 5 ) 〈TOP〉
  1. 2. 林裕章,類神經網路應用於統計製程管制分隨機性模型之研判,中壢,元智工學院,工業工程研究所碩士論文 ,中華民國81年。
  2. 3. 謝昆霖,類神經網路在品質管制上之應用:非隨機性變化之偵測,中壢,元智工學院,工業工程研究所碩士論 文,中華民國83年。
  3. 4. 蔡政良,以特徵為基之管制圖非隨機性模型的辨認-使用類神經網路,中壢,元智工學院,工業工程研究所碩 士論文,中華民國85年。
  4. 中文參考資料
  5. 1. 鄭春生, 品質管理, 三民書局, 中華民國84年。
Times Cited (6) 〈TOP〉
  1. 施炳光(2007)。結合製程統計特徵值與類神經網路於管制圖異常形狀之辨識。虎尾科技大學工業工程與管理研究所學位論文。2007。1-118。 
  2. 蕭博仁(2000)。應用類神經網路監視語意品質特性平均值之變化--以印刷電路板製程為例。元智大學工業工程與管理學系學位論文。2000。1-100。
  3. 萬維君(2001)。應用類神經網路於製程平均值變化之偵測及參數之估計。元智大學工業工程與管理學系學位論文。2001。1-72。
  4. 陳信嘉(2001)。管制圖非隨機性樣式之辨認及參數之估計。元智大學工業工程與管理學系學位論文。2001。1-83。
  5. 羅完元(2005)。應用小波分析與類神經網路於管制圖非隨機樣式之偵測。元智大學工業工程與管理學系學位論文。2005。1-70。
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