LSTM-based Modelling for Coagulant Dosage Prediction in Wastewater Treatment Plant

Exploring potential dual-stage attention based recurrent neural network machine learning application for dosage prediction in intelligent municipal management

“…Recurrent neural network (RNN) 32 is a kind of dealing with time series task neural network, LSTM 33 is a special type of RNN that solves the vanishing gradient problem. Fang 34 used the LSTM algorithm model to predict the dosage of coagulant in WWTP. Liu 6 proposed a based-LSTM adjusting accumulated error automatically and time-consistent term to determine coagulant dosage in different data sources, better experimental results are obtained.…”