Adaptive neuro fuzzy inference system approach for municipal water consumption modeling: An application to Izmir, Turkey
| dc.contributor.author | Yurdusev, Mehmet Ali | |
| dc.contributor.author | Firat, Mahmut | |
| dc.date.accessioned | 2019-08-16T12:12:06Z | |
| dc.date.available | 2019-08-16T12:12:06Z | |
| dc.date.issued | 2009-02 | |
| dc.description.abstract | In this study, an adaptive neuro fuzzy inference system (ANFIS) is used to forecast monthly water use from several socio-economic and climatic factors including average monthly water bill, population, number of households, gross national product, monthly average temperature observed, monthly total rainfall, monthly average humidity observed and inflation rate. Water consumption modeling in this way will be more consistent than doing it using a single variable as more effective parameter could be incorporated. The ANFIS system is applied to modeling monthly water consumptions of Izmir, Turkey. The results indicated that ANFIS can be successfully applied for monthly water consumption modeling. © 2008 Elsevier B.V. All rights reserved. | en_US |
| dc.identifier.doi | 10.1016/j.jhydrol.2008.11.036 | |
| dc.identifier.issn | 0022-1694 | |
| dc.identifier.scopus | 2-s2.0-58849164849 | en_US |
| dc.identifier.uri | https://hdl.handle.net/11499/6867 | |
| dc.identifier.uri | https://doi.org/10.1016/j.jhydrol.2008.11.036 | |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | Journal of Hydrology | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | ANFIS | en_US |
| dc.subject | ANN | en_US |
| dc.subject | Fuzzy logic | en_US |
| dc.subject | Prediction | en_US |
| dc.subject | Water consumption | en_US |
| dc.subject | Water demand | en_US |
| dc.subject | Backpropagation | en_US |
| dc.subject | Economics | en_US |
| dc.subject | Fuzzy inference | en_US |
| dc.subject | Fuzzy sets | en_US |
| dc.subject | Population statistics | en_US |
| dc.subject | Water supply | en_US |
| dc.subject | Fuzzy systems | en_US |
| dc.subject | artificial neural network | en_US |
| dc.subject | climate effect | en_US |
| dc.subject | forecasting method | en_US |
| dc.subject | fuzzy mathematics | en_US |
| dc.subject | hydrological modeling | en_US |
| dc.subject | water demand | en_US |
| dc.subject | water use | en_US |
| dc.subject | Eurasia | en_US |
| dc.subject | Izmir [Turkey] | en_US |
| dc.subject | Turkey | en_US |
| dc.title | Adaptive neuro fuzzy inference system approach for municipal water consumption modeling: An application to Izmir, Turkey | en_US |
| dc.type | Article | en_US |
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| gdc.description.department | Pamukkale University | |
| gdc.description.endpage | 234 | en_US |
| gdc.description.issue | 3-4 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
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| gdc.description.volume | 365 | en_US |
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| gdc.oaire.keywords | Turkey | |
| gdc.oaire.keywords | Economics | |
| gdc.oaire.keywords | Water demand | |
| gdc.oaire.keywords | Backpropagation | |
| gdc.oaire.keywords | Population statistics | |
| gdc.oaire.keywords | water use | |
| gdc.oaire.keywords | hydrological modeling | |
| gdc.oaire.keywords | Water supply | |
| gdc.oaire.keywords | Water consumption | |
| gdc.oaire.keywords | Izmir [Turkey] | |
| gdc.oaire.keywords | fuzzy mathematics | |
| gdc.oaire.keywords | ANFIS | |
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| gdc.oaire.keywords | Fuzzy inference | |
| gdc.oaire.keywords | water demand | |
| gdc.oaire.keywords | Eurasia | |
| gdc.oaire.keywords | ANN | |
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