Yayın: Modeling rainfall-runoff process using soft computing techniques
| dc.contributor.author | Tombul, Mustafa | |
| dc.contributor.author | Jalal Shiri | |
| dc.contributor.author | Mustafa Tombul | |
| dc.contributor.orcid | 0000-0001-7847-5872 | |
| dc.contributor.orcid | 0000-0002-5726-7924 | |
| dc.contributor.orcid | 0000-0002-1875-8042 | |
| dc.date.accessioned | 2025-11-12T22:29:04Z | |
| dc.date.issued | 2012-07-20 | |
| dc.identifier.doi | 10.1016/j.cageo.2012.07.001 | |
| dc.identifier.endpage | 117 | |
| dc.identifier.issn | 0098-3004 | |
| dc.identifier.openalex | W1996750440 | |
| dc.identifier.startpage | 108 | |
| dc.identifier.uri | https://hdl.handle.net/11421/113 | |
| dc.identifier.uri | https://doi.org/10.1016/j.cageo.2012.07.001 | |
| dc.identifier.volume | 51 | |
| dc.language.iso | en | |
| dc.relation.ispartof | Computers & Geosciences | |
| dc.rights | restrictedAccess | |
| dc.subject | Gene expression programming | |
| dc.subject | Mean squared error | |
| dc.subject | Surface runoff | |
| dc.subject | Soft computing | |
| dc.subject | Coefficient of determination | |
| dc.subject | Adaptive neuro fuzzy inference system | |
| dc.subject | Artificial neural network | |
| dc.subject | Linear regression | |
| dc.subject | Correlation coefficient | |
| dc.subject | Mean absolute percentage error | |
| dc.subject | Statistics | |
| dc.subject | Computer science | |
| dc.subject | Mathematics | |
| dc.subject | Data mining | |
| dc.subject | Fuzzy logic | |
| dc.subject | Machine learning | |
| dc.subject | Artificial intelligence | |
| dc.subject | Fuzzy control system | |
| dc.subject | Ecology | |
| dc.title | Modeling rainfall-runoff process using soft computing techniques | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| local.authorid.openalex | A5081589463 |
