Multi-ahead electrical conductivity forecasting of surface water based on machine learning algorithms

Multi-ahead electrical conductivity forecasting of surface water based on machine learning algorithms

Abstract The present research work focused on predicting the electrical conductivity (EC) of surface water in the Upper Ganga basin using four machine learning algorithms: multilayer perceptron (MLP), co-adaptive neuro-fuzzy inference system (CANFIS), random forest (RF), and decision tree (DT). The...

Full description

Bibliographic Details
Main Authors: Deepak Kumar, Vijay Kumar Singh, Salwan Ali Abed, Vinod Kumar Tripathi, Shivam Gupta, Nadhir Al-Ansari, Dinesh Kumar Vishwakarma, Ahmed Z. Dewidar, Ahmed A. Al‑Othman, Mohamed A. Mattar
Format: Article
Language:English
Published: SpringerOpen 2023-09-01
Series:Applied Water Science
Subjects:
Decision tree
Multilayer perceptron
Random forest
Co-adaptive neuro-fuzzy inference system
Electrical conductivity
Online Access:https://doi.org/10.1007/s13201-023-02005-1

Internet

https://doi.org/10.1007/s13201-023-02005-1

Similar Items