A novel hybrid model based on two-stage data processing and machine learning for forecasting chlorophyll-a concentration in reservoirs - Yu, Wenqing; Wang, Xingju; Jiang, Xin; Zhao, Ranhang; Zhao, Shen (Environmental science and pollution research international, 2024)
Keywords: algae; Algal blooms; algorithms; Aquatic environment; Aquatic Pollution; Artificial neural networks; Atmospheric Protection/Air Quality Control/Air Pollution; Back propagation networks; China; Chlorophyll; Data processing; Earth and Environmental Science; Ecotoxicology; Environment; Environmental Chemistry; Environmental Health; Eutrophication; geometry; Kernel functions; Learning algorithms; Long short-term memory; Machine learning; model validation; Monitoring systems; Multivariate analysis; Neural networks; Passeriformes; Performance prediction; prediction; Prediction models; principal component analysis; Principal components analysis; regression analysis; Research Article; Reservoirs; Root-mean-square errors; Search algorithms; Sequences; Support vector machines; Time series; time series analysis; Waste Water Technology; Water Management; Water monitoring; Water Pollution Control; Water quality; Water quality management; China; Chlorophyll-a; Bidirectional long short-term memory; Kernel principal component analysis; Prediction; Symplectic geometry mode decomposition; Eutrophication