Matches in SemOpenAlex for { <https://semopenalex.org/work/W2950209853> ?p ?o ?g. }
- W2950209853 endingPage "80" @default.
- W2950209853 startingPage "67" @default.
- W2950209853 abstract "This study adopted a novel biogeography-based optimization (BBO) using an adaptive neuro-fuzzy inference system (ANFIS) technique that is BBO-ANFIS, for one day ahead runoff forecasting. Further, to check robustness of BBO-ANFIS, a comparative study has been done with two well-known hybrid models genetic algorithm-based ANFIS (GA-ANFIS) and firefly-based ANFIS (FA-ANFIS). For model development, two input features (rainfall and runoff), i.e. historical daily accumulated mean rainfall at 1 km resolution and mean daily discharge of three river catchments (specifically, river Fal at Tragony station, river Seaton at Trebrownbridge station and river Kenwyn at Truro) are considered. For the performance evaluation of models, a range of model performance indicators (correlation coefficient (r), mean absolute error (MAE), Nash–Sutcliffe efficiency coefficient) have been used. From results, it was found that the BBO-ANFIS model (r = 0.93, MAE = 0.29, NSE = 0.86 for Fal at Tragony, r = 0.96, MAE = 0.09, NSE = 0.92 for Seaton at Trebrownbridge and r = 0.93, MAE = 0.05, NSE = 0.87 for Kenwyn at Truro) has the best performance than the GA-ANFIS model (r = 91, MAE = 0.29, NSE = 0.82 for Fal at Tragony, r = 0.91, MAE = 0.10, NSE = 0.91 for Seaton at Trebrownbridge and r = 0.92, MAE = 0.06, NSE = 0.85 for Kenwyn at Truro) and the FA-ANFIS model (r = 0.91, MAE = 0.34, NSE = 0.82 for Fal at Tragony, r = 0.95, MAE = 0.10, NSE = 0.91 for Seaton at Trebrownbridge and r = 0.93, MAE = 0.06, NSE = 0.86 for Kenwyn at Truro) for rainfall-runoff (R-R) modelling, This study shows the sensitivity test of standalone machine learning model parameters using three metaheuristic techniques and identifies the best technique that can be efficiently used in hydrological modelling." @default.
- W2950209853 created "2019-06-27" @default.
- W2950209853 creator A5003052622 @default.
- W2950209853 creator A5023559989 @default.
- W2950209853 creator A5024238107 @default.
- W2950209853 date "2019-06-26" @default.
- W2950209853 modified "2023-09-24" @default.
- W2950209853 title "A novel approach for rainfall-runoff modelling using a biogeography-based optimization technique" @default.
- W2950209853 cites W1175502716 @default.
- W2950209853 cites W1197692462 @default.
- W2950209853 cites W1597235087 @default.
- W2950209853 cites W1605110450 @default.
- W2950209853 cites W1970403557 @default.
- W2950209853 cites W1982016872 @default.
- W2950209853 cites W1989665358 @default.
- W2950209853 cites W1989931667 @default.
- W2950209853 cites W1992176519 @default.
- W2950209853 cites W2001063743 @default.
- W2950209853 cites W2011412119 @default.
- W2950209853 cites W2019207321 @default.
- W2950209853 cites W2029724692 @default.
- W2950209853 cites W2029732391 @default.
- W2950209853 cites W2035737123 @default.
- W2950209853 cites W2043986240 @default.
- W2950209853 cites W2064319214 @default.
- W2950209853 cites W2079325629 @default.
- W2950209853 cites W2085308176 @default.
- W2950209853 cites W2097571405 @default.
- W2950209853 cites W2099269189 @default.
- W2950209853 cites W2102148524 @default.
- W2950209853 cites W2132638958 @default.
- W2950209853 cites W2148391762 @default.
- W2950209853 cites W2168081761 @default.
- W2950209853 cites W2169548144 @default.
- W2950209853 cites W2171834920 @default.
- W2950209853 cites W2268519311 @default.
- W2950209853 cites W2284744222 @default.
- W2950209853 cites W2395814628 @default.
- W2950209853 cites W2429948132 @default.
- W2950209853 cites W2550265600 @default.
- W2950209853 cites W2594071602 @default.
- W2950209853 cites W2621378998 @default.
- W2950209853 cites W2737943535 @default.
- W2950209853 cites W2743017312 @default.
- W2950209853 cites W2753179649 @default.
- W2950209853 cites W2755116070 @default.
- W2950209853 cites W2766006987 @default.
- W2950209853 cites W2888277379 @default.
- W2950209853 cites W2922950277 @default.
- W2950209853 cites W3018770027 @default.
- W2950209853 cites W4244628813 @default.
- W2950209853 doi "https://doi.org/10.1080/15715124.2019.1628035" @default.
- W2950209853 hasPublicationYear "2019" @default.
- W2950209853 type Work @default.
- W2950209853 sameAs 2950209853 @default.
- W2950209853 citedByCount "15" @default.
- W2950209853 countsByYear W29502098532020 @default.
- W2950209853 countsByYear W29502098532021 @default.
- W2950209853 countsByYear W29502098532022 @default.
- W2950209853 countsByYear W29502098532023 @default.
- W2950209853 crossrefType "journal-article" @default.
- W2950209853 hasAuthorship W2950209853A5003052622 @default.
- W2950209853 hasAuthorship W2950209853A5023559989 @default.
- W2950209853 hasAuthorship W2950209853A5024238107 @default.
- W2950209853 hasConcept C105795698 @default.
- W2950209853 hasConcept C154945302 @default.
- W2950209853 hasConcept C186108316 @default.
- W2950209853 hasConcept C195975749 @default.
- W2950209853 hasConcept C2780092901 @default.
- W2950209853 hasConcept C33923547 @default.
- W2950209853 hasConcept C39432304 @default.
- W2950209853 hasConcept C41008148 @default.
- W2950209853 hasConcept C58166 @default.
- W2950209853 hasConceptScore W2950209853C105795698 @default.
- W2950209853 hasConceptScore W2950209853C154945302 @default.
- W2950209853 hasConceptScore W2950209853C186108316 @default.
- W2950209853 hasConceptScore W2950209853C195975749 @default.
- W2950209853 hasConceptScore W2950209853C2780092901 @default.
- W2950209853 hasConceptScore W2950209853C33923547 @default.
- W2950209853 hasConceptScore W2950209853C39432304 @default.
- W2950209853 hasConceptScore W2950209853C41008148 @default.
- W2950209853 hasConceptScore W2950209853C58166 @default.
- W2950209853 hasFunder F4320325255 @default.
- W2950209853 hasIssue "1" @default.
- W2950209853 hasLocation W29502098531 @default.
- W2950209853 hasOpenAccess W2950209853 @default.
- W2950209853 hasPrimaryLocation W29502098531 @default.
- W2950209853 hasRelatedWork W2012402855 @default.
- W2950209853 hasRelatedWork W2023307271 @default.
- W2950209853 hasRelatedWork W2024369974 @default.
- W2950209853 hasRelatedWork W2054889803 @default.
- W2950209853 hasRelatedWork W2332474383 @default.
- W2950209853 hasRelatedWork W2899084033 @default.
- W2950209853 hasRelatedWork W3015565988 @default.
- W2950209853 hasRelatedWork W3174789701 @default.
- W2950209853 hasRelatedWork W4231075318 @default.
- W2950209853 hasRelatedWork W4237149108 @default.
- W2950209853 hasVolume "19" @default.