최근 건축분야의 인공지능 기계학습 연구동향 - 국내ㆍ외 연구논문을 중심으로 -

Recent Research Trends of Artificial Intelligent Machine Learning in Architectural Field - Review of Domestic and International Journal Papers -

초록

This paper carried out research trends of Artificial Intelligence (AI) of architectural field by comparing and analyzing the domestic & international journal papers in order to propose possibilities of application of Artificial Intelligence to architectural field in Korea. Firstly, theory of AI was analyzed comprehensively and papers were selected based on keyword of the papers, such as "AI", "ANN", “GA”, “SVM”, "Building", "Architecture" published in the domestic and international journals from 2000 to 2016. After selecting domestic and international journal papers adequately, in-depth analysis was conducted by architectural field, subject, method, and year. According to the analysis results, research trends of total chronology was growing steady and steep growth, especially in architectural environment and facility field. Furthermore, over half of the total papers applied ANN models for research. Lastly, in order to have competitive power of the domestic industry in the future, it determined that the Artificial Intelligence research in the field of architecture should be carried forward more actively.

키워드

건축분야인공지능기계학습인공신경망연구동향Architectural FieldArtificial IntelligenceMachine LearningArtificial Neural NetworkResearch Trends
제목
최근 건축분야의 인공지능 기계학습 연구동향 - 국내ㆍ외 연구논문을 중심으로 -
제목 (타언어)
Recent Research Trends of Artificial Intelligent Machine Learning in Architectural Field - Review of Domestic and International Journal Papers -
저자
Kang, In SungMoon, Jin WooPark, Jin Chul
DOI
10.5659/JAIK_SC.2017.33.4.63
발행일
2017-04
저널명
대한건축학회논문집 구조계
33
4
페이지
63 ~ 83