Open AccessEstimation of organic matter dependent on different variables in drinking water network using artificial neural network and multiple regression methods
Author(s) -
Sayiter Yıldız,
Can Karakus
Publication year - 2021
Publication title -
cumhuriyet science journal
Language(s) - English
Resource type - Journals
eISSN - 2587-246X
pISSN - 2587-2680
DOI - 10.17776/csj.897185
Subject(s) - turbidity , organic matter , regression analysis , statistics , linear regression , mathematics , artificial neural network , chlorine , mean squared error , regression , environmental science , chemistry , computer science , artificial intelligence , ecology , biology , organic chemistry