Machinelearning Aided Architectural Design Synthesize Fast Cfd By Machinelearning Zaghloul by Zaghloul, Mohamed instant download after payment.

The results of this research promote twofold. Firstly, the results show the
beneficial varieties of integrating a machine-learning algorithm—Self‐Organizing
Map (SOM)—with architectural designs in order to incorporate learning from data
that produces discovering patterns. This helps understand and manipulate the data
entities in a holistic way with architectural designs. This integration on the level of the
conceptual design enables preconceiving data and discovering its heuristic rules, and
it links building skin performances with building geometrics in a highly effective
way. SOM is the foundational tool for computing non‐linear analysis to enhance the
ability of conceiving the changes in building performances and visualizing the hidden
relationships between these contingent performances and the building geometrics.