Developing simplified numerical calculation and BP neural network modeling for the cooling capacity in a radiant floor cooling system
Author:
Affiliation:
1. School of Thermal Engineering, Shandong Jianzhu University, Jinan, China
2. Department of Built Environment, Oslo Metropolitan University, Oslo, Norway
Funder
Natural Science Foundation of Shandong Province
Shandong Province
Publisher
Informa UK Limited
Subject
Arts and Humanities (miscellaneous),Building and Construction,Cultural Studies,Architecture,Civil and Structural Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/13467581.2023.2244730
Reference61 articles.
1. Machine learning approach to predict the heat transfer coefficients pertaining to a radiant cooling system coupled with mixed and forced convection
2. Realistic experimental heat transfer characteristics of radiant floor heating using sidewalls as heat sinks
3. Experimental and Numerical Simulation of a Radiant Floor System: The Impact of Different Screed Mortars and Floor Finishings
4. Numerical investigation of a new method to control the condensation problem in ceiling radiant cooling panels
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