Environmental ScienceComputer ScienceMathematics

R. Barzegar, M. Aalami, J. Adamowski

2020.2.1STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

DOI: 10.1007/s00477-020-01776-2

tlooto Summary

By integrating the LSTM and CNN models, the hybrid model successfully captured both the low and high levels of the water quality variables, particularly for the DO concentrations.

Abstract

Abstract is not available.

Citation format

BARZEGAR, R.; AALAMI, M.; ADAMOWSKI, J. Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2020, 34: 415–433.