tlooto
Sign up
Environmental ScienceEngineeringComputer Science

Long short-term memory (LSTM) recurrent neural network for low-flow hydrological time series forecasting

B. B. Sahoo, R. Jha, Anshuman Singh, Deepak Kumar

2019.7.20Acta Geophysica

DOI: 10.1007/s11600-019-00330-1

tlooto Summary

The finding of this research concludes that LSTM-RNN can be used as new reliable AI technique for low-flow forecasting.

Abstract

Abstract is not available.

Citation format

SAHOO, B. B., et al. Long short-term memory (LSTM) recurrent neural network for low-flow hydrological time series forecasting. Acta Geophysica, 2019, 67: 1471–1481.