Litcius/Paper detail

A hybrid XGBoost-ISSA-LSTM model for accurate short-term and long-term dissolved oxygen prediction in ponds

Yuhan Wu, Longqing Sun, Xibei Sun, Boning Wang

2021Environmental Science and Pollution Research47 citationsDOI

Topics & Concepts

Mean squared errorTerm (time)SparrowGradient descentComputer scienceMean squared prediction errorStatisticsArtificial neural networkMathematicsArtificial intelligenceAlgorithmEcologyQuantum mechanicsBiologyPhysicsWater Quality Monitoring TechnologiesFish Ecology and Management StudiesHydrological Forecasting Using AI
A hybrid XGBoost-ISSA-LSTM model for accurate short-term and long-term dissolved oxygen prediction in ponds | Litcius