基于生成对抗网络的复合功能体系计算性设计 - 以职业技术学院校园平面生成为例

This paper selects vocational and technical colleges as the research object and established a data set of vocational and technical college plans, for conducting machine learning and simulation based on Generative Adversarial Networks. The working mode of this research is the gradual generation and manual optimization of architectural plans by machine learning, and this research process is divided into three stages including region division, location determination and form generation. The machine learning model can rapidly generate a series of research-based schemes which contain the interaction combination of major spatial elements, and help architects to explore the regularity of vocational and technical college design as well as the extension of neural network.