Full Library

Return to list of results

Indoor thermal condition in urban heat island: Comparison of the artificial neural network and regression methods prediction

RIS

Recommended format for most reference management software

BibTeX

Recommended format for BibTeX-specific software

Open in Zotero
View on zotero.org
Resource type
Journal Article
Authors/contributors
Title
Indoor thermal condition in urban heat island: Comparison of the artificial neural network and regression methods prediction
Publication
Energy and buildings
Publisher
Elsevier
Date
2014
Volume
76
Pages
597–604
DOI
10.1016/j.enbuild.2014.03.018
URL
https://www.sciencedirect.com/science/article/pii/S0378778814002382?casa_token=Noissv5WE2cAAAAA:f_lef-cUTe7at73s-XhGrGuAH5cRIugKBRiaWPbbiVckRaItTfFlcObm9UYDaz-88mKuGJboqUk
Accessed
12/02/2024, 21:56
Short Title
Indoor thermal condition in urban heat island
Library Catalogue
Google Scholar
Call Number
openalex:W1975840289
Extra
openalex: W1975840289
Citation
Ashtiani, A., Mirzaei, P. A., & Haghighat, F. (2014). Indoor thermal condition in urban heat island: Comparison of the artificial neural network and regression methods prediction. Energy and Buildings, 76, 597–604. https://doi.org/10.1016/j.enbuild.2014.03.018
Theme
Link to this record
https://climate.educationevidence.io/lib/GZ2FNQTY