stands for Digital Object Identifier
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/」
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 Registration （ doi.airiti.com ） 。
王宗惇 , Ph.D Advisor：陳儒賢 Co-advisor ：林國峰
繁體中文 DOI： 10.6342/NTU201703151
- 1.Alvarez-Guerra, M., González-Piñuela, C., Andrés, A., Galán, B. & Viguri, J. R. (2008). “Assessment of Self-Organizing Map artificial neural networks for the classification of sediment quality,” Environment International, 34(6), 782-790.
- 2.Box, G. E. P., and Jenkins, G. M. (1976). “Time Series Analysis: Forecasting and Control.” Holden-Day, San Francisco.
- 3.Baylar, A., Batan & M. (2010). “Usage of artificial intelligence methods in free flowing gated closed conduits for estimation of oxygen transfer efficiency,” Advances in Engineering Software, 41(5), 729-736.
- 4.Bovolo, F., Bruzzone, L. & Marconcini, M. (2008). “A novel approach to unsupervised change detection based on a semisupervised SVM and a similarity measure.” IEEE Transactions on Geoscience and Remote Sensing, 46(7), 2070-2082.
- 5.Chen, S. T. & Yu, P. S. (2007). “Pruning of support vector networks on flood forecasting.” Journal of Hydrology, 347, 67-78.
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