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https://hdl.handle.net/11499/6606
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bacanlı, Ülker Güner | - |
dc.contributor.author | Fırat, Mahmut | - |
dc.contributor.author | Dikbaş, Fatih | - |
dc.date.accessioned | 2019-08-16T12:09:00Z | - |
dc.date.available | 2019-08-16T12:09:00Z | - |
dc.date.issued | 2009 | - |
dc.identifier.issn | 1436-3240 | - |
dc.identifier.uri | https://hdl.handle.net/11499/6606 | - |
dc.identifier.uri | https://doi.org/10.1007/s00477-008-0288-5 | - |
dc.description.abstract | Drought causes huge losses in agriculture and has many negative influences on natural ecosystems. In this study, the applicability of Adaptive Neuro-Fuzzy Inference System (ANFIS) for drought forecasting and quantitative value of drought indices, the Standardized Precipitation Index (SPI), is investigated. For this aim, 10 rainfall gauging stations located in Central Anatolia, Turkey are selected as study area. Monthly mean rainfall and SPI values are used for constructing the ANFIS forecasting models. For all stations, data sets include a total of 516 data records measured between in 1964 and 2006 years and data sets are divided into two subsets, training and testing. Different ANFIS forecasting models for SPI at time scales 1-12 months were trained and tested. The results of ANFIS forecasting models and observed values are compared and performances of models were evaluated. Moreover, the best fit models have been also trained and tested by Feed Forward Neural Networks (FFNN). The results demonstrate that ANFIS can be successfully applied and provide high accuracy and reliability for drought forecasting. © 2008 Springer-Verlag. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Stochastic Environmental Research and Risk Assessment | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | ANFIS | en_US |
dc.subject | Central Anatolia | en_US |
dc.subject | Drought forecasting | en_US |
dc.subject | Drought indices | en_US |
dc.subject | Turkey | en_US |
dc.subject | Adaptive neuro-fuzzy inference system | en_US |
dc.subject | Best-fit models | en_US |
dc.subject | Data records | en_US |
dc.subject | Data sets | en_US |
dc.subject | Forecasting models | en_US |
dc.subject | Gauging stations | en_US |
dc.subject | Natural ecosystem | en_US |
dc.subject | Negative influence | en_US |
dc.subject | Quantitative values | en_US |
dc.subject | Standardized precipitation index | en_US |
dc.subject | Study areas | en_US |
dc.subject | Time-scales | en_US |
dc.subject | Training and testing | en_US |
dc.subject | Drought | en_US |
dc.subject | Earthquake effects | en_US |
dc.subject | Fuzzy inference | en_US |
dc.subject | Interchanges | en_US |
dc.subject | Neural networks | en_US |
dc.subject | Weather forecasting | en_US |
dc.subject | Fuzzy systems | en_US |
dc.subject | accuracy assessment | en_US |
dc.subject | artificial neural network | en_US |
dc.subject | drought | en_US |
dc.subject | forecasting method | en_US |
dc.subject | fuzzy mathematics | en_US |
dc.subject | observational method | en_US |
dc.subject | rainfall | en_US |
dc.subject | raingauge | en_US |
dc.subject | reliability analysis | en_US |
dc.subject | Anatolia | en_US |
dc.subject | Eurasia | en_US |
dc.title | Adaptive Neuro-Fuzzy inference system for drought forecasting | en_US |
dc.type | Article | en_US |
dc.identifier.volume | 23 | en_US |
dc.identifier.issue | 8 | en_US |
dc.identifier.startpage | 1143 | - |
dc.identifier.startpage | 1143 | en_US |
dc.identifier.endpage | 1154 | en_US |
dc.authorid | 0000-0002-2279-9138 | - |
dc.authorid | 0000-0002-8010-9289 | - |
dc.authorid | 0000-0001-5779-2801 | - |
dc.identifier.doi | 10.1007/s00477-008-0288-5 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopus | 2-s2.0-71149094442 | en_US |
dc.identifier.wos | WOS:000271752100007 | en_US |
dc.identifier.scopusquality | Q2 | - |
dc.owner | Pamukkale University | - |
item.languageiso639-1 | en | - |
item.openairetype | Article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 10.02. Civil Engineering | - |
crisitem.author.dept | 10.02. Civil Engineering | - |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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