A water quality prediction model based on variational mode decomposition and the least squares support vector machine optimized by the sparrow search algorithm (VMD-SSA-LSSVM) of the Yangtze River, China
Chenguang Song, Leihua Yao, Chengya Hua, Qihang Ni
Topics & Concepts
Support vector machineLeast squares support vector machineWater qualityAutoregressive integrated moving averageArtificial neural networkAlgorithmBenchmark (surveying)Computer scienceTime seriesArtificial intelligenceMachine learningEcologyGeodesyBiologyGeographyHydrological Forecasting Using AIWater Quality Monitoring TechnologiesWater Quality and Pollution Assessment