Response to comment of Taher Rajaee and Salar Khani on “Artificial neural network modelling of biological oxygen demand in rivers at the national level with input selection based on Monte Carlo simulations” [Šiljić et al., Environ Sci Pollut Res (2015) 22: 4230-4241]

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• 作者：Aleksandra Šiljić Tomić ; Davor Antanasijević…
• 刊名：Environmental Science and Pollution Research
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：23
• 期：4
• 页码：3978-3979
• 全文大小：296 KB
• 参考文献：Abrahart RJ, Anctil F, Coulibaly P, Dawson CW, Mount NJ, See LM, Shamseldin AY, Solomatine DP, Toth E, Wilby RL (2012) Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting. Prog Phys Geog 36:480–513CrossRef
  Eurostat Database (2015) Renewable freshwater resources/precipitation, direct link: http://​appsso.​eurostat.​ec.​europa.​eu/​nui/​show.​do . Accessed 2 Dec 2015
  
• 作者单位：Aleksandra Šiljić Tomić (1)
  Davor Antanasijević (2)
  Aleksandra Perić-Grujić (1)
  Mirjana Ristić (1)
  Viktor Pocajt (1)
  
  1. Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11120, Belgrade, Serbia
  2. Innovation Center of the Faculty of Technology and Metallurgy, Karnegijeva 4, 11120, Belgrade, Serbia
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Environment
  Atmospheric Protection, Air Quality Control and Air Pollution
  Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
  Industrial Pollution Prevention
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1614-7499

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