A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks

Rajesh Singh; Vikram Vishal; TN Singh; Ranjith Pathegama Gamage

doi:10.1007/s00521-012-0944-z

A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks

Rajesh Singh, Vikram Vishal, TN Singh, Ranjith Pathegama Gamage

Civil Engineering

Research output: Contribution to journal › Article › Research › peer-review

126 Citations (Scopus)

Original language	English
Pages (from-to)	499 - 506
Number of pages	8
Journal	Neural Computing and Applications
Volume	23
Issue number	2
DOIs	https://doi.org/10.1007/s00521-012-0944-z
Publication status	Published - 2013

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title = "A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks",

author = "Rajesh Singh and Vikram Vishal and TN Singh and {Pathegama Gamage}, Ranjith",

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A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks. / Singh, Rajesh; Vishal, Vikram; Singh, TN et al.
In: Neural Computing and Applications, Vol. 23, No. 2, 2013, p. 499 - 506.

Research output: Contribution to journal › Article › Research › peer-review

TY - JOUR

T1 - A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks

AU - Singh, Rajesh

AU - Vishal, Vikram

AU - Singh, TN

AU - Pathegama Gamage, Ranjith

PY - 2013

Y1 - 2013

UR - http://dx.doi.org/10.1007/s00521-012-0944-z

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DO - 10.1007/s00521-012-0944-z

M3 - Article

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EP - 506

JO - Neural Computing and Applications

JF - Neural Computing and Applications

IS - 2

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A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks

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