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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「http://dx.doi.org/」 「 http://dx.doi.org/ 」 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: http://dx.doi.org/ 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 Registrationdoi.airiti.com ) 。

Abstract 〈TOP〉
Parallel Abstract 〈TOP〉
Reference ( 56 ) 〈TOP〉
  1. 1. Atiya, A.F., Shaheen, S.I., 1999. A comparison between neural-network forecasting techniques - case study: river flow forecasting. IEEE Transaction on Neural Networks 10(2), 402-409.
  2. 2. Akhtar, M. K., Corzo, G. A., Andel, S. J.van , Jonoski, A. , 2009. River flow forecasting with artificial neural networks using satellite observed precipitation pre-processed with flow length and travel time information: case study of the Ganges river basin. Hydrology and Earth System Sciences, 13, 1607-1618.
  3. 3. Chang, F.J., Chang, L.C., Huang, H.L., 2002. Real time recurrent neural network for streamflow forecasting. Hydrological Processes 16, 2577-2588.
  4. 4. Chang, F.J. and Chang, Y.T., 2006. Adaptive neuro-fuzzy inference system for prediction of water level in reservoir. Advances in Water Resources, 29(1): 1-10.
  5. 5. Chang, F.J., Tseng K.Y., Chaves P., 2007. Shared near neighbour neural network model: a debris flow warning system. Hydrological Processes 21, 1968-1976.
Times Cited (3) 〈TOP〉
  1. 陳韋利(2013)。因應極端氣候土石流潛勢溪流預警系統建置之研究。中興大學水土保持學系所學位論文。2013。1-60。 
  2. 黃建霖(2014)。颱風期間考慮取水濁度限制下水庫防洪與防淤之最佳即時操作。臺灣大學土木工程學研究所學位論文。2014。1-170。 
  3. 林易俊(2016)。嚴重乾旱時期限水策略預測模式之研究-以新店溪水源為例。成功大學水利及海洋工程學系碩士在職專班學位論文。2016。1-86。
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