요인분석과 군집분석을 이용한 인공신경망 모델링 일반화 정확도 향상에 관한 연구: 유량 및 수질 예측에의 적용

  • Published : 2017.06.15

Abstract

Keywords

References

  1. Kim, S. E. 2014. "Improving the Generalization Accuracy of ANN Modeling Using Factor Analysis and Clustering Analysis: Its Application to Streamflow and Water Quality Predictions", Ph.D. Thesis, Seoul National University, Korea.
  2. Kim, S. E., and Seo, I. W. 2015a. "Artificial Neural Network Ensemble Modeling with Conjunctive Clustering for Water Quality Prediction in Rivers", Journal of Hydro-environmental Research. Vol. 9(3), pp.325-339. https://doi.org/10.1016/j.jher.2014.09.006
  3. Kim, S. E., and Seo, I. W. 2015b. "Artificial Neural Network Ensemble Modeling with Exploratory Factor Analysis for Streamflow Forecasting", Journal of Hydroinformatics. Vol. 17(4), pp.614-639. https://doi.org/10.2166/hydro.2015.033