Wenwu Tan1, Jianjun Zhang1,*, Jiang Wu1, Hao Lan1, Xing Liu1, Ke Xiao2, Li Wang2, Haijun Lin1, Guang Sun3, Peng Guo4
Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1943-1958, 2022, DOI:10.32604/iasc.2022.029660
Abstract Water resources are an indispensable precious resource for human survival and development. Water quality prediction plays a vital role in protecting and enhancing water resources. Changes in water quality are influenced by many factors, both long-term and short-term. Therefore, according to water quality changes’ periodic and nonlinear characteristics, this paper considered dissolved oxygen as the research object and constructed a neural network model combining convolutional neural network (CNN) and long short-term memory network (LSTM) to predict dissolved oxygen index in water quality. Firstly, we preprocessed the water quality data set obtained from the water quality monitoring platform. Secondly, we used… More >