Hybrid metaheuristic machine learning approach for water level prediction: a case study in dongting lake

HIGHLIGHTS

• who: . and colleagues from the Jamia Millia Islamia, India Hohai University, China have published the article: Hybrid metaheuristic machine learning approach for water level prediction: A case study in Dongting Lake, in the Journal: (JOURNAL)
• what: The aim of this study is to propose multilayer perceptron neural_network (MLPNN), Elman neural_network (ENN) and integration of particle swarm optimisation and Elman neural_network (PSO-ENN) models for the water level prediction in Dongting Lake areas by incorporating the hourly data. The studies that focus on such system have been carried out throughout the years (Liu et_al, 2015; Tularam . . .
  

   

  

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