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Artificial Neural Network (ANN) and Regression Tree (CART) applications for the indirect estimation...

Artificial Neural Network (ANN) and Regression Tree (CART) applications for the indirect estimation...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1560132086

Artificial Neural Network (ANN) and Regression Tree (CART) applications for the indirect estimation of unsaturated soil shear strength parameters

About this item

Full title

Artificial Neural Network (ANN) and Regression Tree (CART) applications for the indirect estimation of unsaturated soil shear strength parameters

Publisher

Heidelberg: Springer-Verlag

Journal title

Frontiers of earth science, 2014-09, Vol.8 (3), p.439-456

Language

English

Formats

Publication information

Publisher

Heidelberg: Springer-Verlag

More information

Scope and Contents

Contents

The shear strength parameters of soil (cohesion and angle of internal friction) are quite essential in solving many civil engineering problems. In order to determine these parameters, laboratory tests are used. The main objective of this work is to evaluate the potential of Artificial Neural Network (ANN) and Regression Tree (CART) techniques for t...

Alternative Titles

Full title

Artificial Neural Network (ANN) and Regression Tree (CART) applications for the indirect estimation of unsaturated soil shear strength parameters

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1560132086

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1560132086

Other Identifiers

ISSN

2095-0195

E-ISSN

2095-0209

DOI

10.1007/s11707-014-0416-0

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