Comparison on of Activation Functions for Shrinkage Prediction Model using DNN

DNN을 활용한 콘크리트 건조수축 예측 모델의 활성화 함수 비교분석

  • Published : 2022.11.10

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.

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