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
30086
Html 29269
Abstract 817
19 August 2015 (publication date) through 28 September 2026 *
8.97 % 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: 23563
PDF2698
Epub2298
XML2437
PPT6999
Figures7064
Tables2067
Export: 5052
RIS1544
BibTex1783
Endnote1725
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