Abstract
This paper introduces a computer-aided design (CAD) system in which a neuro-fuzzy system isintegrated as a main engine for learning. Specifically, a computer system that generates 3D city modelsfrom satellite images is formulated, implemented, and tested. Techniques from neural networks, fuzzysystems, image processing, pattern recognition, and machine learning constitute the methodologicalfoundation of the system. The usability and flexibility of the system are evaluated in case studies.
Cite
CITATION STYLE
Kobayashi, Y. (2022). 3D City Model Generator: The Application of Neuro-Fuzzy Systems in CAD. In Proceedings of the 22nd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) (pp. 163–174). ACADIA. https://doi.org/10.52842/conf.acadia.2002.163
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