Temporal prediction of dissolved oxygen based on CEEMDAN and multi-strategy LSTM hybrid model
- 5 March 2024
- journal article
- research article
- Published by Springer Nature in Environmental Earth Sciences
- Vol. 83 (6) , 1-23
Abstract
No abstract availableKeywords
This publication has 69 references indexed in Scilit:
- An efficient hybrid grey wolf optimization-based KELM approach for prediction of the discharge coefficient of submerged radial gatesSoft Computing, 2022
- Modeling of Dissolved Oxygen Concentration and Its Hysteresis Behavior in Rivers Using Wavelet Transform‐Based Hybrid ModelsCLEAN – Soil, Air, Water, 2016
- Complexity analysis of rainfall and runoff time series based on sample entropy in different temporal scalesStochastic Environmental Research and Risk Assessment, 2014
- Turbidity Prediction in a River Basin by Using Artificial Neural Networks: A Case Study in Northern SpainWater Resources Management, 2013
- Assessing the Impacts of Four Land Use Types on the Water Quality of Wetlands in JapanWater Resources Management, 2013
- Applied Predictive Modeling2013
- Application of artificial neural networks for water quality predictionNeural Computing and Applications, 2012
- Upscaling Field Scale Hydrology and Water Quality Modelling to Catchment ScaleWater Resources Management, 2006
- A neural network-based approach for calculating dissolved oxygen profiles in reservoirsNeural Computing and Applications, 2003
- A model for predicting the temporal evolution of dissolved oxygen concentration in shallow estuaries2002