English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Enhancing the resolution of the angular orientations of the flow controlling blades on a sustainable house by training an artificial neural network

Amini, K., Mehrjou, A., & Mani, M. (2021). Enhancing the resolution of the angular orientations of the flow controlling blades on a sustainable house by training an artificial neural network. Energy Efficiency, 14: 25. doi:10.1007/s12053-021-09931-6.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-000F-DFF5-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-DFF6-1
Genre: Journal Article

Files

show Files

Locators

show
hide
Locator:
https://doi.org/10.1007/s12053-021-09931-6 (Publisher version)
Description:
-
OA-Status:
Closed Access

Creators

show
hide
 Creators:
Amini , Kasra1, Author
Mehrjou, Arash1, 2, Author           
Mani, Mahmoud1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

Content

show
hide
Free keywords: Abt. Schölkopf
 Abstract: -

Details

show
hide
Language(s): eng - English
 Dates: 2021-02-152021-02
 Publication Status: Issued
 Pages: 18
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s12053-021-09931-6
BibTex Citekey: KasMehrMan2021CD
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Energy Efficiency
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Dordrecht : Springer Netherlands
Pages: - Volume / Issue: 14 Sequence Number: 25 Start / End Page: - Identifier: ISSN: 1570-646X
ISSN: 1570-6478
CoNE: https://pure.mpg.de/cone/journals/resource/1570646X