Rainfall prediction methodology with binary multilayer perceptron neural networks
Rainfall prediction methodology with binary multilayer perceptron neural networks
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Contents
Precipitation, in short periods of time, is a phenomenon associated with high levels of uncertainty and variability. Given its nature, traditional forecasting techniques are expensive and computationally demanding. This paper presents a soft computing technique to forecast the occurrence of rainfall in short ranges of time by artificial neural netw...
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Full title
Rainfall prediction methodology with binary multilayer perceptron neural networks
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TN_cdi_proquest_journals_2041961031
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2041961031
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ISSN
0930-7575
E-ISSN
1432-0894
DOI
10.1007/s00382-018-4252-x
