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A Convolutional Autoencoder-based method for learning and ranking personal daylighting preference
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DOI：10.1016/j.buildenv.2025.113595.png)
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摘要
En 中文
• 用于学习个人二值自然采光偏好的一种新方法
• 两阶段训练方法：特征提取模块和偏好推断模块
• 基于CAE的特征提取器，设计用于监控未见过的亮度图特征
• 推断模块：对自然采光偏好进行分类并估计序数排名
Keyword:
personal binary daylighting preference
two-stage training
CAE-based feature extractor
preference inference
ordinal ranking
期刊
IF:
7.6
论文数:
1.3W
被引数:
6.6W
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