Optimization of state of the art fuzzy-based machine learning techniques for total dissolved solids prediction

HIGHLIGHTS

  • who: Mohammad Hijji and colleagues from the Faculty of Computers and Information Technology, University of Tabuk, Tabuk, Saudi Arabia have published the paper: Optimization of State of the Art Fuzzy-Based Machine Learning Techniques for Total Dissolved Solids Prediction, in the Journal: Sustainability 2023, 7016 of /2023/
  • what: In this study a new fuzzy-based intelligent system was developed due to the uncertainty of the TDS time series data by integrating optimization algorithms. For model implementation this research aims to model the TDS parameter in a river system by using relevant biochemical parameters such as . . .

     

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