A Comparative Study of GRU and LSTM Time-Series Forecasting for Precise River Dam Hydrodynamic Prediction
Author:
Affiliation:
1. Electronic Engineering Polytechnic Institute of Surabaya,Electrical Engineering Department,Surabaya,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10665754/10665755/10665796.pdf?arnumber=10665796
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1. Flood disasters and health among the urban poor
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4. Urban Water Flow and Water Level Prediction Based on Deep Learning
5. A comparative study of SVM and LSTM deep learning algorithms for stock market prediction;Lakshminarayanan
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