Proceedings of the Korean Institute of Building Construction Conference (한국건축시공학회:학술대회논문집)
- 2022.11a
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- Pages.121-122
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- 2022
Comparison on of Activation Functions for Shrinkage Prediction Model using DNN
DNN을 활용한 콘크리트 건조수축 예측 모델의 활성화 함수 비교분석
Abstract
In this study, compared and analyzed various Activation Functions to present a methodology for developing a natural intelligence-based prediction system. As a result of the analysis, ELU was the best with RMSE: 62.87, R2: 0.96, and the error rate was 4%. However, it is considered desirable to construct a prediction system by combining each algorithm model for optimization.