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

Chapi, Kamran, Singh, Vijay P., Shirzadi, Ataollah, Shahabi, Himan, Bui, Dieu Tien, Pham, Binh Thai, Khosravi, Khabat (2017) A novel hybrid artificial intelligence approach for flood susceptibility assessment. Environmental Modelling & Software, 95. 229-245 doi:10.1016/j.envsoft.2017.06.012

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleA novel hybrid artificial intelligence approach for flood susceptibility assessment
JournalEnvironmental Modelling & Software
AuthorsChapi, KamranAuthor
Singh, Vijay P.Author
Shirzadi, AtaollahAuthor
Shahabi, HimanAuthor
Bui, Dieu TienAuthor
Pham, Binh ThaiAuthor
Khosravi, KhabatAuthor
Year2017 (September)Volume95
PublisherElsevier BV
DOIdoi:10.1016/j.envsoft.2017.06.012Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9714902Long-form Identifiermindat:1:5:9714902:0
GUID0
Full ReferenceChapi, Kamran, Singh, Vijay P., Shirzadi, Ataollah, Shahabi, Himan, Bui, Dieu Tien, Pham, Binh Thai, Khosravi, Khabat (2017) A novel hybrid artificial intelligence approach for flood susceptibility assessment. Environmental Modelling & Software, 95. 229-245 doi:10.1016/j.envsoft.2017.06.012
Plain TextChapi, Kamran, Singh, Vijay P., Shirzadi, Ataollah, Shahabi, Himan, Bui, Dieu Tien, Pham, Binh Thai, Khosravi, Khabat (2017) A novel hybrid artificial intelligence approach for flood susceptibility assessment. Environmental Modelling & Software, 95. 229-245 doi:10.1016/j.envsoft.2017.06.012
In(n.d.) Environmental Modelling & Software Vol. 95. Elsevier BV

See Also

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

Shirzadi, Ataollah, Bui, Dieu Tien, Pham, Binh Thai, Solaimani, Karim, Chapi, Kamran, Kavian, Ataollah, Shahabi, Himan, Revhaug, Inge (2017) Shallow landslide susceptibility assessment using a novel hybrid intelligence approach. Environmental Earth Sciences, 76 (2). doi:10.1007/s12665-016-6374-y
Tien Bui, Dieu, Shirzadi, Ataollah, Chapi, Kamran, Shahabi, Himan, Pradhan, Biswajeet, Pham, Binh, Singh, Vijay, Chen, Wei, Khosravi, Khabat, Bin Ahmad, Baharin, Lee, Saro (2019) A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping. Water, 11 (10) 2013pp. doi:10.3390/w11102013
Khosravi, Khabat, Pham, Binh Thai, Chapi, Kamran, Shirzadi, Ataollah, Shahabi, Himan, Revhaug, Inge, Prakash, Indra, Tien Bui, Dieu (2018) A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran. Science of The Total Environment, 627. 744-755 doi:10.1016/j.scitotenv.2018.01.266
Tien Bui, Dieu, Shahabi, Himan, Omidvar, Ebrahim, Shirzadi, Ataollah, Geertsema, Marten, Clague, John, Khosravi, Khabat, Pradhan, Biswajeet, Pham, Binh, Chapi, Kamran, et al. (2019) Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm. Remote Sensing, 11 (8). doi:10.3390/rs11080931
Tien Bui, Dieu, Khosravi, Khabat, Li, Shaojun, Shahabi, Himan, Panahi, Mahdi, Singh, Vijay, Chapi, Kamran, Shirzadi, Ataollah, Panahi, Somayeh, Chen, Wei, Bin Ahmad, Baharin (2018) New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling. Water, 10 (9) 1210pp. doi:10.3390/w10091210
Bui, Dieu Tien, Panahi, Mahdi, Shahabi, Himan, Singh, Vijay P., Shirzadi, Ataollah, Chapi, Kamran, Khosravi, Khabat, Chen, Wei, Panahi, Somayeh, Li, Shaojun, Ahmad, Baharin Bin (2018) Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods. Scientific Reports, 8. doi:10.1038/s41598-018-33755-7
Shirzadi, Ataollah, Shahabi, Himan, Chapi, Kamran, Bui, Dieu Tien, Pham, Binh Thai, Shahedi, Kaka, Ahmad, Baharin Bin (2017) A comparative study between popular statistical and machine learning methods for simulating volume of landslides. CATENA, 157. 213-226 doi:10.1016/j.catena.2017.05.016
Khosravi, Khabat, Shahabi, Himan, Pham, Binh Thai, Adamowski, Jan, Shirzadi, Ataollah, Pradhan, Biswajeet, Dou, Jie, Ly, Hai-Bang, Gróf, Gyula, Ho, Huu Loc, Hong, Haoyuan, Chapi, Kamran, Prakash, Indra (2019) A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods. Journal of Hydrology, 573. 311-323 doi:10.1016/j.jhydrol.2019.03.073
Pham, Binh Thai, Prakash, Indra, Singh, Sushant K., Shirzadi, Ataollah, Shahabi, Himan, Tran, Thi-Thu-Trang, Bui, Dieu Tien (2019) Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches. CATENA, 175. 203-218 doi:10.1016/j.catena.2018.12.018
Tien Bui, Dieu, Shahabi, Himan, Shirzadi, Ataollah, Chapi, Kamran, Hoang, Nhat-Duc, Pham, Binh, Bui, Quang-Thanh, Tran, Chuyen-Trung, Panahi, Mahdi, Bin Ahmad, Baharin, et al. (2018) A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. Remote Sensing, 10 (10). doi:10.3390/rs10101538
Tien Bui, Dieu, Shahabi, Himan, Shirzadi, Ataollah, Kamran Chapi, Kamran, Hoang, Nhat-Duc, Pham, Binh, Bui, Quang-Thanh, Tran, Chuyen-Trung, Panahi, Mahdi, Bin Ahmad, Baharin, et al. (2018) Erratum: Dieu, T.B. et al. A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. Remote Sens. 2018, 10, 1538. Remote Sensing, 11 (1). doi:10.3390/rs11010057
 
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: August 31, 2025 02:12:02
Go to top of page