Investigating machine learning models in predicting lake water quality parameters as a 3-year moving average
Investigating machine learning models in predicting lake water quality parameters as a 3-year moving average
Faezeh Gorgan-Mohammadi,T. Rajaee,Mohammad Zounemat‐Kermani
2023 · DOI: 10.1007/s11356-023-26830-8
Environmental science and pollution research international · 2 Citations
TLDR
Various types of machine learning methodologies, such as classification and regression tree (CART), chi-squared automatic interaction detector (CHAID), C5 tree, quick, unbiased, and efficient statistical tree (QUEST), along with multilayer perceptron (MLP) neural network, and radial basis function (RBF) neuralnetwork are employed to predict the concentration of water quality parameters.