Journal of Energy Engineering (에너지공학)

The Korean Society for Energy (한국에너지학회)
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Deep Neural Net Machine Learning and Manufacturing

제조업의 심층신경망 기계학습(딥러닝)

  • CHO, Mann (ReSEAT Program, Korea Institute of Science and Technology Information) ;
  • Lee, Mingook (Korea Institute of Science and Technology Information)
  • 조만 (한국과학기술정보연구원 ReSEAT 프로그램) ;
  • 이민국 (한국과학기술정보연구원 미래정보연구센터)
  • Received : 2016.11.16
  • Accepted : 2017.07.25
  • Published : 2017.09.30
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Abstract

In recent years, the use of artificial intelligence technology such as deep neural net machine learning(deep learning) is becoming an effective and practical option in industrial manufacturing process. This study focuses on recent deep learning development environments and their applications in the manufacturing field.

인공지능 특히 심층신경망기계학습기법(딥러닝)의 제조업분야에서의 이용이 효율적이며 실용적일 수 있다는 인식이 넓게 수용되고 있다 이 보고서는 최근의 신경망기계학습 개발환경을 개관하고 제조업분야에서 활용되고 있는 딥 러닝기술을 개관한다.

Keywords

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