Researchers from China University of Geosciences Report Findings in Artificial Neural Networks (Prediction On the Fluoride Contamination In Groundwater At the Datong Basin, Northern China: Comparison of Random Forest, Logistic Regression and ...)

摘要

2021 SEP 21 (NewsRx) - By a News Reporter-Staff News Editor at Disease Prevention Daily - Current study results on Artificial Neural Networks have been published. According to news reporting originating in Wuhan, People's Republic of China, by NewsRx journalists, research stated, "Groundwater fluoride is posing a health risk to humans, and analyzing groundwater quality is time-wasting and expensive. Statistical methods provide a valuable approach to study the spatial distribution of groundwater fluoride." Funders for this research include National Natural Science Foundation of China (NSFC), Ministry of Education, China, Fundamental Research Funds for the Central Universities. The news reporters obtained a quote from the research from the China University of Geosciences, "Random Forest (RF), Artificial Neural Network (ANN), and Logistic Regression (LR) were used in this study for groundwater fluoride prediction in Datong Basin. The groundwater chemistry of 482 groundwater samples was collected and used to figure out the performance of three statistical technologies and extract the main factors controlling the enrichment of fluoride in groundwater. The data was separated into two parts for the statistical analysis, 80% for training and 20% for testing.