Approximating Climatic Performance using Artificial Neural Networks

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type , Article 01 Jan 2018 English Publisher:ZenodoJournal:Project Catalog of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA)Funded by:EC | InnoChain

Authors: Zeynep, Aksöz; Chadha Kunaljit; Dubor Alexandre; Cabay Edouard;

doi: 10.5281/zenodo.2668916 , 10.5281/zenodo.2668915

Approximating Climatic Performance using Artificial Neural Networks

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Abstract

This project investigates potentials of integrating artificial intelligence in the digital fabrication process to approximate climatic performance digitally for design evaluation before fabrication.

Related Organizations

University of Applied Arts Vienna
Austria

Keywords

machine learning, evoporative cooling, robotic printing, climatic performance

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