Performance comparison using different multilayer perceptron input–output formats to predict unsteady indoor temperature distribution
Abstract Computational fluid dynamics (CFD) is widely used to predict the indoor thermal environment; however, large time cost represents a significant disadvantage. Several deep learning approaches have been introduced to reduce prediction time in steady‐state predictions, though their feasibility...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-10-01
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| Series: | Japan Architectural Review |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/2475-8876.12294 |