Applications of soft computing techniques for prediction of energy dissipation on stepped spillways
Applications of soft computing techniques for prediction of energy dissipation on stepped spillways
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Publisher
London: Springer London
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Language
English
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Publisher
London: Springer London
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Contents
In this study, numbers type of soft computing including artificial neural network (ANN), support vector machine (SVM), multivariate adaptive regression splines (MARS), and group method of data handling (GMDH) were applied to model and predict energy dissipation of flow over stepped spillways. Results of ANN indicated that this model including hyper...
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Full title
Applications of soft computing techniques for prediction of energy dissipation on stepped spillways
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TN_cdi_proquest_journals_2032937423
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2032937423
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ISSN
0941-0643
E-ISSN
1433-3058
DOI
10.1007/s00521-016-2667-z
