Enhancing the resolution of the angular orientations of the flow controlling 
blades on a sustainable house by training an artificial neural network

Amini , Kasra; Mehrjou, Arash; Mani, Mahmoud

doi:10.1007/s12053-021-09931-6

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

Enhancing the resolution of the angular orientations of the flow controlling blades on a sustainable house by training an artificial neural network

MPS-Authors

/persons/resource/persons232842

Mehrjou, Arash
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

External Resource

https://doi.org/10.1007/s12053-021-09931-6
(Publisher version)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

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.

Cite as: https://hdl.handle.net/21.11116/0000-000F-DFF5-2

Abstract

There is no abstract available