Sequential Masterplanning: Using Urban-GANs

被引：2
|
作者：
He, Wanyu [1 ,2 ,3 ]
机构：
[1] XKool Technol, Delft, Netherlands
[2] Future Architecture Lab, Delft, Netherlands
[3] OMA, Delft, Netherlands
来源：
ARCHITECTURAL DESIGN | 2022年 / 92卷 / 03期
关键词：
'time series'; generative adversarial network (GAN); Michel Foucault; AI-based probabilistic modelling; Convoluted neural networks (CNNs); identification model; Urban- GAN model; 'semantic' data;
D O I：
10.1002/ad.2820
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
AI, and particularly the use of generative adversarial networks (GANs), can provide a more dynamic urban-planning visual tool allowing the development potential of specific sites to be explored. Wanyu He - founder and CEO of XKool Technology, co-founder of Future Architecture Lab and University of Hong Kong academic - explains how.
引用
收藏
页码：100 / 107
页数：8
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