Abstract
Artificial Neural Networks (ANN) deal with information through interactions among neurons (or nodes), approximating the mapping between inputs and outputs based on non-linear functional composition. They have the advantages of self-learning, self-organizing, and self-adapting. It is practical to use ANN technology to carry out hydrologic calculations. To this end, this note has fundamentally set up a system of calculation and analysis based on ANN technology, given an example of application with good results. It shows that ANN technology is a relatively effective way of solving problems in hydrologic calculation.
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Feng, L., Zhang, X. (2009). A New Practical Method on Hydrological Calculation. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01507-6_4
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DOI: https://doi.org/10.1007/978-3-642-01507-6_4
Publisher Name: Springer, Berlin, Heidelberg
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