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Hidden layer 개수가 Deep Learning Algorithm을 이용한 콘크리트 압축강도 추정 모델의 성능에 미치는 영향에 관한 기초적 연구A Basic Study on the Effect of Number of Hidden Layers on Performance of Estimation Model of Compressive Strength of Concrete Using Deep Learning Algorithms
- Other Titles
- A Basic Study on the Effect of Number of Hidden Layers on Performance of Estimation Model of Compressive Strength of Concrete Using Deep Learning Algorithms
- Issue Date
- May-2018
- Publisher
- 한국건축시공학회
- Keywords
- 압축강도; 배합 인자; 딥 러닝; 히든 레이어; compressive strength; mixture factor; deep learning; hidden layer
- Citation
- 한국건축시공학회 춘계학술발표대회 논문집, v.18, no.1, pp.130 - 131
- Indexed
- OTHER
- Journal Title
- 한국건축시공학회 춘계학술발표대회 논문집
- Volume
- 18
- Number
- 1
- Start Page
- 130
- End Page
- 131
- Files in This Item
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Related Researcher
- Lee, Han Seung
- ERICA 공학대학 (MAJOR IN ARCHITECTURAL ENGINEERING)