Metrics

From
Prediction of Daylighting and Energy Performance Using Artificial Neural Network and Support Vector Machine by Sixuan Zhou and Dong Liu American Journal of Civil Engineering and Architecture. 2015, 3(3A), 1-8 doi:10.12691/ajcea-3-3A-1
Views
14252
Html 13490
Abstract 762
19 August 2015 (publication date) through 28 September 2020 *
8.31 % of article views led to PDF downloads *
*Although we update our data on a daily basis, there may be a 48-hour delay before the most recent numbers are available.
Downloads: 9254
PDF1184
Epub757
XML949
PPT2279
Figures3283
Tables802
Export: 1960
RIS575
BibTex654
Endnote731
RIS, BibTex, EndNote allows users to search, retrieve and store citations from bibliographic databases such as ABI Inform, the Web of Science, Anthropological Literature, the MLA bibliography, or the catalogs of individual libraries.
Area Chart Example: If your want to see the details of daily statistics for this article, please click here to login our Manuscript Tracking System.
Citations
2
Found additional citations for the article? Please contact us at submission@sciepub.com.
Shares & bookmarks
Facebook0
Twitter0
LinkedIn0
Google +0
Found additional shares or bookmarks for the article? Please contact us at submission@sciepub.com