Prediction of mean radiant temperature distribution around a building in hot summer days using optimized multilayer neural network model
Bibliographic Data
| ID | 21230426 |
|---|---|
| Authors | Yuquan Xie (0000-0003-2158-7528, Hunan University), Yasuyuki Ishida (0000-0001-6683-4372, Tohoku University, corresponding author), Jialong Hu, Akashi Mochida (0000-0002-4216-2361, Tohoku University) |
| Year | 2022 |
| Volume | 84 |
| Pages | 103995 |
| Publication date | 2022-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2022.103995 |
| OpenAlex | W4281628580 |
| Language | EN |
| Citations received | 2 |
| References cited | 35 |
Approximation error · Artificial neural network · Climate change · Geography · Machine learning · Mean absolute error · Mean absolute percentage error · Mean radiant temperature · Mean squared error · Meteorology · Root mean square · Simulation · Statistics · Thermal comfort · Building Energy and Comfort Optimization · Computer Science · Engineering · Environmental Science · Mathematics · Urban Heat Island Mitigation · Wind and Air Flow Studies · Mechanical Engineering
Learning representations by back-propagating errors
Multilayer feedforward networks are universal approximators
Total assessment for various environmentally conscious techniques from three perspectives
The impact of urban planning strategies on heat stress in a climate-change perspective
Outdoor thermal comfort and outdoor activities
| Citations per year | 1 |
|---|---|
| Citation span | 2024 - 2025 (2) |
| Highly cited | No |