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 Gorgan Province
About this item
Full title
Author / Creator
Publisher
Samsun: Federation of Eurasian Soil Science Societies (FESSS)
Journal title
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
Author / Creator
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