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A comparison of linear and neural network ARX models applied to a prediction of the indoor temperature of a building

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Resource type
Journal Article
Authors/contributors
Title
A comparison of linear and neural network ARX models applied to a prediction of the indoor temperature of a building
Publication
Neural Computing & Applications
Volume
13
Pages
32–37
Date
2004
DOI
10.1007/s00521-004-0401-8
URL
https://idp.springer.com/authorize/casa?redirect_uri=https://link.springer.com/article/10.1007/s00521-004-0401-8&casa_token=ihYgfspFJRgAAAAA:kudJImJ2E9eRp2QRbxeB4mx3ByI2ZGv3_Z8yqf5wDJpla5O9CNxhRgfvR_UohboR0UXsAc__kPLzAjHNpg
Accessed
12/02/2024, 22:05
Library Catalogue
Google Scholar
Call Number
openalex:W2029912855
Extra
Publisher: Springer openalex: W2029912855
Citation
Mechaqrane, A., & Zouak, M. (2004). A comparison of linear and neural network ARX models applied to a prediction of the indoor temperature of a building. Neural Computing & Applications, 13, 32–37. https://doi.org/10.1007/s00521-004-0401-8
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Link to this record
https://climate.educationevidence.io/lib/BNJ2VSVP