جستجوی مقالات مرتبط با کلیدواژه "چیدمان عناصر نما" در نشریات گروه "محیط زیست"

Machine learning is one of the emerging issues in architectural research that seeks to design and draw architectural plans such as plans and facades with the help of machine learning algorithms. In fact, researchers in the field of computational design of building facades have long been looking for approaches that can enable the artificial intelligence factor to participate in the creation of architectural designs. Therefore, the purpose of this study is to find the answer to the question of what theoretical model can ultimately be fruitful for the arrangement of building elements through machine learning so that the computational process required to implement these elements by automated facade design intelligence with Make machine learning algorithms possible   

The research method is a combination of library studies and mathematical calculations as well as the use of books on national building regulations in relation to the facade.

The research findings show that using Euclidean and Manhattan mathematical relations with the conversion of facade data into unique vectors as well as the conversion of national regulation data and facade design standards to numerical vectors, with the help of Python programming language And KNN's nearest neighbor classification algorithms achieved good results.

And finally, the results show that the arrangement of the main elements of the facade can be drawn from architectural plans with the help of artificial intelligence algorithm, reading and facade of residential buildings based on architectural plans.