Pesticide prediction in ground water in North Carolina domestic wells using artificial neural networks

By G. Sahoo, C. Ray, H. F. Wade. 2005

102 citations recorded by the source corpus.

Subfields: Environmental Engineering, Soil Science

View Paper: https://www.semanticscholar.org/paper/397f1d975b861dbbc7735e5017f7804f4abd0731

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Wenyan Wu
2. Holger R. Maier
3. Graeme C. Dandy
4. Kwok-Wing Chau
5. Jan Adamowski
6. Salim Heddam
7. John M. Quilty
8. K. Sudheer

In Soil Science

1. Holger R. Maier
2. Graeme C. Dandy
3. Wenyan Wu

Citations in the corpus

• Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling (2014, methodology): “Case study dependent model performance evaluation criteria (refer to Section 2.2.6), such as the pesticide detection efficiency used by Sahoo et al. (2005), were used 21 times.”