点击次数：
发表刊物：Information Sciences
刊物所在地：荷兰
关键字：Savitzky-Golay filter, Prediction algorithms, Water quality management, Deep neural network, Encoder
摘要：Water environment time series prediction is important to efficient water resource management. Traditional water quality prediction is mainly based on linear models. However, owing to complex conditions of the water environment, there is a lot of noise in the water quality time series, which will seriously affect the accuracy of water quality prediction. In addition, linear models are difficult to deal with the nonlinear relations of data of time series. To address this challenge, this work proposes a hybrid model based on a long short-term memory-based encoder-decoder neural network and a Savi
论文类型：基础研究
论文编号：DOI: 10.1016/j.ins.2021.04.057
一级学科：计算机科学与技术
文献类型：期刊
卷号：571
页面范围：191-205
ISSN号：0020-0255
是否译文：否
CN号：null
发表时间：2021-09-01
收录刊物：SCI
发布期刊链接：https://www-sciencedirect-com-s.vpn.buaa.edu.cn:8118/science/article/pii/S0020025521003868