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Estimation of infiltration rate and deep percolation water using feed-forward neural networks in Gor...

Estimation of infiltration rate and deep percolation water using feed-forward neural networks in Gor...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1753461584

Estimation of infiltration rate and deep percolation water using feed-forward neural networks in Gorgan Province

About this item

Full title

Estimation of infiltration rate and deep percolation water using feed-forward neural networks in Gorgan Province

Publisher

Samsun: Federation of Eurasian Soil Science Societies (FESSS)

Journal title

Eurasian journal of soil science, 2014-01, Vol.3 (1), p.1-1

Language

English

Formats

Publication information

Publisher

Samsun: Federation of Eurasian Soil Science Societies (FESSS)

More information

Scope and Contents

Contents

The two common methods used to develop PTFs are multiple-linear regression method and artificial neural network. One of the advantages of neural networks compared to traditional regression PTFs is that they do not require a priori regression model, which relates input and output data and in general is difficult because these models are not known. S...

Alternative Titles

Full title

Estimation of infiltration rate and deep percolation water using feed-forward neural networks in Gorgan Province

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1753461584

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1753461584

Other Identifiers

ISSN

2147-4249

E-ISSN

2147-4249

DOI

10.18393/ejss.03148

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