Neural Network Hydroinformatics: Maintaining Scientific Rigour
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-540-79881-1_3.pdf
Reference45 articles.
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3. Abrahart RJ, Kneale PE, See LM (2004) Neural Networks for Hydrological Modelling. Rotterdam, Taylor & Francis
4. Abrahart RJ, White SM (2001) Modelling sediment transfer in Malawi: Comparing backpropagation neural network solutions against a multiple linear regression benchmark using small data sets. Physics and Chemistry of the Earth (B) 26(1): 19–24
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