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Kolay, Ersin, Kayabali, Kamil, Tasdemir, Yuksel (2010) Modeling the slake durability index using regression analysis, artificial neural networks and adaptive neuro-fuzzy methods. Bulletin of Engineering Geology and the Environment, 69. 275-286 doi:10.1007/s10064-009-0259-1

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Reference TypeJournal (article/letter/editorial)
TitleModeling the slake durability index using regression analysis, artificial neural networks and adaptive neuro-fuzzy methods
JournalBulletin of Engineering Geology and the Environment
AuthorsKolay, ErsinAuthor
Kayabali, KamilAuthor
Tasdemir, YukselAuthor
Year2010 (May)Volume69
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s10064-009-0259-1Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID8361473Long-form Identifiermindat:1:5:8361473:0
GUID0
Full ReferenceKolay, Ersin, Kayabali, Kamil, Tasdemir, Yuksel (2010) Modeling the slake durability index using regression analysis, artificial neural networks and adaptive neuro-fuzzy methods. Bulletin of Engineering Geology and the Environment, 69. 275-286 doi:10.1007/s10064-009-0259-1
Plain TextKolay, Ersin, Kayabali, Kamil, Tasdemir, Yuksel (2010) Modeling the slake durability index using regression analysis, artificial neural networks and adaptive neuro-fuzzy methods. Bulletin of Engineering Geology and the Environment, 69. 275-286 doi:10.1007/s10064-009-0259-1
In(n.d.) Bulletin of Engineering Geology and the Environment Vol. 69. Springer Science and Business Media LLC

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Tasdemir, Yuksel, Kolay, Ersin, Kayabali, Kamil (2013) Comparison of three artificial neural network approaches for estimating of slake durability index. Environmental Earth Sciences, 68 (1). 23-31 doi:10.1007/s12665-012-1702-3
Kayabali, Kamil, Beyaz, Turgay, Kolay, Ersin (2006) The effect of the pH of the testing liquid on the slake durability of gypsum. Bulletin of Engineering Geology and the Environment, 65. 65-71 doi:10.1007/s10064-005-0027-9
Kolay, Ersin, Kayabali, Kamil (2006) Investigation of the effect of aggregate shape and surface roughness on the slake durability index using the fractal dimension approach. Engineering Geology, 86 (4). 271-284 doi:10.1016/j.enggeo.2006.05.007
Sarkar, Kripamoy, Tiwary, Avyaktanand, Singh, T. N. (2010) Estimation of strength parameters of rock using artificial neural networks. Bulletin of Engineering Geology and the Environment, 69. 599-606 doi:10.1007/s10064-010-0301-3
Arıoğlu, N., Kurt, G., Arıoğlu, E. (2010) Discussion on the paper entitled “A correlation between P–wave velocity, impact strength index, slake durability index and uniaxial compressive strength” by P.K. Sharma and T.N. Singh (DOI 10.1007/s10064-007-0109-y). Bulletin of Engineering Geology and the Environment, 69. 501-502 doi:10.1007/s10064-010-0261-7
Tsiambaos, G., Saroglou, H. (2010) Excavatability assessment of rock masses using the Geological Strength Index (GSI). Bulletin of Engineering Geology and the Environment, 69. 13-27 doi:10.1007/s10064-009-0235-9
Kayabali, Kamil, Ozdemir, Adil (2012) Assessing the practicality of the centrifuge method for 1-D consolidation. Bulletin of Engineering Geology and the Environment, 71. 735-745 doi:10.1007/s10064-012-0426-7
Polykretis, Christos, Chalkias, Christos, Ferentinou, Maria (2019) Adaptive neuro-fuzzy inference system (ANFIS) modeling for landslide susceptibility assessment in a Mediterranean hilly area. Bulletin of Engineering Geology and the Environment, 78. 1173-1187 doi:10.1007/s10064-017-1125-1
Kahraman, Sair, Fener, Mustafa, Gunaydin, Osman (2017) Estimating the uniaxial compressive strength of pyroclastic rocks from the slake durability index. Bulletin of Engineering Geology and the Environment, 76. 1107-1115 doi:10.1007/s10064-016-0893-3
Sharma, P. K., Singh, T. N. (2008) A correlation between P-wave velocity, impact strength index, slake durability index and uniaxial compressive strength. Bulletin of Engineering Geology and the Environment, 67. 17-22 doi:10.1007/s10064-007-0109-y
Zhang, Tao, Yang, Yu-Ling (2024) Slake durability and mineralogical characteristic of carbonaceous rocks. Bulletin of Engineering Geology and the Environment, 83 (10). doi:10.1007/s10064-024-03921-5
 
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