Sawability prediction of carbonate rocks from shear strength parameters using artificial neural networks

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

93 Citations (Scopus)

Original language	English
Pages (from-to)	157-164
Number of pages	8
Journal	International Journal of Rock Mechanics and Mining Sciences
Volume	43
Issue number	1
DOIs	https://doi.org/10.1016/j.ijrmms.2005.04.007
Publication status	Published - Jan 2006
Externally published	Yes

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title = "Sawability prediction of carbonate rocks from shear strength parameters using artificial neural networks",

author = "Sair Kahraman and H. Altun and Tezekici, \{B. S.\} and M. Fener",

year = "2006",

month = jan,

doi = "10.1016/j.ijrmms.2005.04.007",

language = "English",

volume = "43",

pages = "157--164",

journal = "International Journal of Rock Mechanics and Mining Sciences",

issn = "1365-1609",

publisher = "Elsevier B.V.",

number = "1",

}

TY - JOUR

T1 - Sawability prediction of carbonate rocks from shear strength parameters using artificial neural networks

AU - Kahraman, Sair

AU - Altun, H.

AU - Tezekici, B. S.

AU - Fener, M.

PY - 2006/1

Y1 - 2006/1

UR - https://www.scopus.com/pages/publications/27944471727

U2 - 10.1016/j.ijrmms.2005.04.007

DO - 10.1016/j.ijrmms.2005.04.007

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AN - SCOPUS:27944471727

SN - 1365-1609

VL - 43

SP - 157

EP - 164

JO - International Journal of Rock Mechanics and Mining Sciences

JF - International Journal of Rock Mechanics and Mining Sciences

IS - 1

ER -