Two-phase flow regime prediction using LSTM based deep recurrent neural network

Zhuoran Dang, Mamoru Ishii

Long short-term memory (LSTM) and recurrent neural network (RNN) has achieved great successes on time-series prediction. In this paper, a methodology of using LSTM-based deep-RNN f…