Vote for your favorite mineral in #MinCup25! - Pollucite vs. Tugtupite
It's the cesium #pollucite against the optical changeling #tugtupite for this match.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Cabalar, Ali Firat, Cevik, Abdulkadir, Gokceoglu, Candan (2012) Some applications of Adaptive Neuro-Fuzzy Inference System (ANFIS) in geotechnical engineering. Computers and Geotechnics, 40. 14-33 doi:10.1016/j.compgeo.2011.09.008

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleSome applications of Adaptive Neuro-Fuzzy Inference System (ANFIS) in geotechnical engineering
JournalComputers and Geotechnics
AuthorsCabalar, Ali FiratAuthor
Cevik, AbdulkadirAuthor
Gokceoglu, CandanAuthor
Year2012 (March)Volume40
PublisherElsevier BV
DOIdoi:10.1016/j.compgeo.2011.09.008Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID1005960Long-form Identifiermindat:1:5:1005960:1
GUID0
Full ReferenceCabalar, Ali Firat, Cevik, Abdulkadir, Gokceoglu, Candan (2012) Some applications of Adaptive Neuro-Fuzzy Inference System (ANFIS) in geotechnical engineering. Computers and Geotechnics, 40. 14-33 doi:10.1016/j.compgeo.2011.09.008
Plain TextCabalar, Ali Firat, Cevik, Abdulkadir, Gokceoglu, Candan (2012) Some applications of Adaptive Neuro-Fuzzy Inference System (ANFIS) in geotechnical engineering. Computers and Geotechnics, 40. 14-33 doi:10.1016/j.compgeo.2011.09.008
In(2012) Computers and Geotechnics Vol. 40. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Gokceoglu, Candan, Yesilnacar, Ertan, Sonmez, Harun, Kayabasi, Ali (2004) A neuro-fuzzy model for modulus of deformation of jointed rock masses. Computers and Geotechnics, 31. 375-383 doi:10.1016/j.compgeo.2004.05.001
Cabalar, Ali Firat, Cevik, Abdulkadir (2009) Modelling damping ratio and shear modulus of sand–mica mixtures using neural networks. Engineering Geology, 104 (1). 31-40 doi:10.1016/j.enggeo.2008.08.005
Cabalar, Ali Firat, Cevik, Abdulkadir (2009) Genetic programming-based attenuation relationship: An application of recent earthquakes in turkey. Computers & Geosciences, 35 (9) 1884-1896 doi:10.1016/j.cageo.2008.10.015
Jalalifar, H., Mojedifar, S., Sahebi, A.A., Nezamabadi-pour, H. (2011) Application of the adaptive neuro-fuzzy inference system for prediction of a rock engineering classification system. Computers and Geotechnics, 38. 783-790 doi:10.1016/j.compgeo.2011.04.005
Adoko, A.C., Wu, Li (2012) Estimation of convergence of a high-speed railway tunnel in weak rocks using an adaptive neuro-fuzzy inference system (ANFIS) approach. Journal of Rock Mechanics and Geotechnical Engineering, 4 (1). 11-18 doi:10.3724/sp.j.1235.2012.00011
Walia, Navneet, Singh, Harsukhpreet, Sharma, Anurag (2015) ANFIS: Adaptive Neuro-Fuzzy Inference System- A Survey. International Journal of Computer Applications, 123. 32-38 doi:10.5120/ijca2015905635
Alemdag, S., Gurocak, Z., Cevik, A., Cabalar, A.F., Gokceoglu, C. (2016) Modeling deformation modulus of a stratified sedimentary rock mass using neural network, fuzzy inference and genetic programming. Engineering Geology, 203. 70-82 doi:10.1016/j.enggeo.2015.12.002
(2012) Estimation of subsurface strata of earth using Adaptive Neuro-Fuzzy inference system (ANFIS) Acta Geodaetica et Geophysica Hungarica, 47 (1) 78-89 doi:10.1556/ageod.47.2012.1.7
Ibrahim, Rahmon, Olawale, Omotosho, Funmilayo, Kasali (2018) Diagnosis of Hepatitis using Adaptive Neuro-Fuzzy Inference System (ANFIS). International Journal of Computer Applications, 180. 45-53 doi:10.5120/ijca2018917020
Yurdusev, Mehmet Ali, Firat, Mahmut (2009) Adaptive neuro fuzzy inference system approach for municipal water consumption modeling: An application to Izmir, Turkey. Journal of Hydrology, 365 (3). 225-234 doi:10.1016/j.jhydrol.2008.11.036
Al, Onur, Candan, Fethi, Candan, Sennur, Acilar, Ayse Merve, Candan, Ercan (2024) Adaptive neuro-fuzzy inference system approach for tensile properties prediction of LPDC A357 aluminum alloy. Computational Materials Science, 244. 113275 doi:10.1016/j.commatsci.2024.113275
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 8, 2025 12:01:42
Go to top of page