Water for future (물과 미래)

Korea Water Resources Association (한국수자원학회)
권호 표지

저수지의 저수량 예측을 위한 위성정보와 인공지능의 활용 방안

  • 조성억 (부경대학교 지오메틱연구소) ;
  • 이양원 (부경대학교 공간정보시스템공학 전공)
  • Published : 2022.12.30
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Abstract

Keywords

References

  1. Baumann, P., Misev, D., Metricariu, V., and Huu, B. P., 2021, Array databases: concepts, standards, implementations, Journal of Big Data 8(28), 1-61. https://doi.org/10.1186/s40537-020-00387-6
  2. Colah, 2015. Colah's blog, Understanding LSTM Networks. https://colah.github.io/posts/2015-08-Understanding-LSTMs/, accessed on Nov. 15, 2022.
  3. Chung, J., C. Gulcehre, K. Cho and Y. Bengio, 2014. Emprical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. arXiv:1412.3555v1 [cs.NE] 11 Dec 2014.
  4. Kim, S., 2020. Sooftware NLP - LSTM & GRU. https://sooftware.io/lstm_gru/, accessed on Nov. 15, 2022.
  5. Vaswani, A., N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. Gomez, L. Kaiser and I. Polosukhin, 2017. Attention Is All You Need. 31st Conference on Neural Information Processing Systems (NIPS 2017).