Prediction of groundwater quality index in the Gaza coastal aquifer using supervised machine learning techniques
This paper investigates the performance of five supervised machine learning algorithms, including support vector machine (SVM), logistic regression (LogR), decision tree (DT), multiple perceptron neural network (MLP-NN), and K-nearest neighbours (KNN) for predicting the water quality index (WQI) and...
| Autori principali: | , , , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
IWA Publishing
2023-03-01
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| Serie: | Water Practice and Technology |
| Soggetti: | |
| Accesso online: | http://wpt.iwaponline.com/content/18/3/501 |