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doi:10.1016/j.envsoft.2010.02.003 vs http://dx.doi.org/10.1016/j.envsoft.2010.02.003

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doi:10.1016/j.envsoft.2010.02.003 is the most popular phrase on the web.

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doi:10.1016/j.envsoft.2010.02.003

33 results on the web

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  • Aug 1, 2010 ... doi>10.1016/j.envsoft.2010.02.003. Over the past 15 years, artificial neural networks (ANNs) have been used increasingly for prediction and ...
  • Aug 1, 2010 ... Elsevier Science Publishers B. V. Amsterdam, The Netherlands, The Netherlands table of contents doi>10.1016/j.envsoft.2010.02.003 ...
  • Aug 1, 2010 ... doi>10.1016/j.envsoft.2010.02.003. Over the past 15 years, artificial neural networks (ANNs) have been used increasingly for prediction and ...
  • Software, 2010, doi:10.1016/j.envsoft.2010.02.003. Jain, A. and Kumar, S., Dissection of trained neural network hydrologic model architectures for knowledge ...

http://dx.doi.org/10.1016/j.envsoft.2010.02.003

2 results on the web

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  • 891–909 http://dx.doi.org/10.1016/j.envsoft.2010.02.003. [SD-008]. May et al., 2008; R.J. May, G.C. Dandy, H.R. Maier, J.B. Nixon. Application of partial mutual  ...
  • Dec 20, 2012 ... http://dx.doi.org/10.1016/j.envsoft.2010.02.003. [10] Nagendra, S., and Khare, M. Artificial neural network approach for modelling nitrogen ...

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