DNN을 활용한 콘크리트 건조수축 예측 모델의 활성화 함수 비교분석

Comparison on of Activation Functions for Shrinkage Prediction Model using DNN

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.