Modeling the BOD of Danube River in Serbia using spatial, temporal, and input variables optimized artificial neural network models.

@article{Tomi2016ModelingTB,
  title={Modeling the BOD of Danube River in Serbia using spatial, temporal, and input variables optimized artificial neural network models.},
  author={Aleksandra N {\vS}ilji{\'c} Tomi{\'c} and Davor Antanasijevi{\'c} and Mirjana Đ Risti{\'c} and Aleksandra A Peri{\'c}-Gruji{\'c} and Viktor Pocajt},
  journal={Environmental monitoring and assessment},
  year={2016},
  volume={188 5},
  pages={300}
}
This paper describes the application of artificial neural network models for the prediction of biological oxygen demand (BOD) levels in the Danube River. Eighteen regularly monitored water quality parameters at 17 stations on the river stretch passing through Serbia were used as input variables. The optimization of the model was performed in three… CONTINUE READING