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Prediction of two-year peak stream discharges using neural networks

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Muttiah, Ranjan S, Srinivasan, Raghavan, and Allen, Peter M, Prediction of two-year peak stream discharges using neural networks: .

Summary

The cascade correlation neural network was used to predict the two-year peak discharge (Q2) for major regional river basins of the continental United States (US). Watersheds ranged in size by four orders of magnitude. Results of the neural network predictions ranged from correlations of 0.73 for 104 test data in the Souris-Red Rainy river basin to 0.95 for 141 test data in California. These results are improvements over previous multilinear regressions involving more variables that showed correlations ranging from 0.26 to 0.94. Results are presented for neural networks trained and tested on drainage area, average annual precipitation, and mean basin elevation. A neural network trained on regional scale data in the Texas Gulf was comparable [...]

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  • Upper Colorado River Basin

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From Source - Mendeley RIS Export <br> On - Wed Sep 19 08:12:57 MDT 2012

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Title Citation Prediction of two-year peak stream discharges using neural networks

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