Matches in SemOpenAlex for { <https://semopenalex.org/work/W2571082009> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2571082009 endingPage "388" @default.
- W2571082009 startingPage "385" @default.
- W2571082009 abstract "Rainfall is often defined by stochastic process dueto its random characteristics, i.e. space and time dependent and it is therefore, not easy to predict. In general, rainfall is a highlynon-linear and complicated phenomenon. In order to acquire an accurate prediction, advanced computer modeling and simulation is required. Artificial Neural Network (ANN) has been successfully used to predict the behavior of such non-linear system. Among the different types of ANN models used, Backpropagation Network (BPN) and Radial Basis FunctionNetworks (RBFN) are the two common ANN models that hadproduced valuable results. However, there was no studyconducted to research on which, among these two methods, isthe better model for rainfall forecast. Therefore, this study willfill this gap by comparing the capabilities of these two ANNmodels in rainfall forecast using metrological data from year2009 to 2013 obtained from Malaysian MeteorologicalDepartment for Kuching, Sarawak, Malaysia. From theresearch, it is concluded that, BPN (MSE≈0.16, R≈0.86)performs better as compared to RBFN (MSE≈0.22, R≈0.82).The strengths and weaknesses of these models are also presentedin this paper." @default.
- W2571082009 created "2017-01-13" @default.
- W2571082009 creator A5011096696 @default.
- W2571082009 creator A5020553580 @default.
- W2571082009 creator A5070306774 @default.
- W2571082009 date "2017-01-01" @default.
- W2571082009 modified "2023-09-27" @default.
- W2571082009 title "Rainfall Classification for Flood Prediction Using Meteorology Data of Kuching, Sarawak, Malaysia: Backpropagation vs Radial Basis Function Neural Network" @default.
- W2571082009 cites W1988816342 @default.
- W2571082009 cites W2023430894 @default.
- W2571082009 cites W2099926703 @default.
- W2571082009 cites W2125318369 @default.
- W2571082009 cites W2128011079 @default.
- W2571082009 cites W2149390240 @default.
- W2571082009 cites W2155889930 @default.
- W2571082009 cites W4236047624 @default.
- W2571082009 doi "https://doi.org/10.18178/ijesd.2017.8.5.982" @default.
- W2571082009 hasPublicationYear "2017" @default.
- W2571082009 type Work @default.
- W2571082009 sameAs 2571082009 @default.
- W2571082009 citedByCount "5" @default.
- W2571082009 countsByYear W25710820092019 @default.
- W2571082009 countsByYear W25710820092020 @default.
- W2571082009 countsByYear W25710820092022 @default.
- W2571082009 countsByYear W25710820092023 @default.
- W2571082009 crossrefType "journal-article" @default.
- W2571082009 hasAuthorship W2571082009A5011096696 @default.
- W2571082009 hasAuthorship W2571082009A5020553580 @default.
- W2571082009 hasAuthorship W2571082009A5070306774 @default.
- W2571082009 hasBestOaLocation W25710820091 @default.
- W2571082009 hasConcept C14036430 @default.
- W2571082009 hasConcept C153294291 @default.
- W2571082009 hasConcept C154945302 @default.
- W2571082009 hasConcept C155032097 @default.
- W2571082009 hasConcept C166957645 @default.
- W2571082009 hasConcept C205649164 @default.
- W2571082009 hasConcept C39432304 @default.
- W2571082009 hasConcept C41008148 @default.
- W2571082009 hasConcept C50644808 @default.
- W2571082009 hasConcept C74256435 @default.
- W2571082009 hasConcept C78458016 @default.
- W2571082009 hasConcept C86803240 @default.
- W2571082009 hasConcept C98856871 @default.
- W2571082009 hasConceptScore W2571082009C14036430 @default.
- W2571082009 hasConceptScore W2571082009C153294291 @default.
- W2571082009 hasConceptScore W2571082009C154945302 @default.
- W2571082009 hasConceptScore W2571082009C155032097 @default.
- W2571082009 hasConceptScore W2571082009C166957645 @default.
- W2571082009 hasConceptScore W2571082009C205649164 @default.
- W2571082009 hasConceptScore W2571082009C39432304 @default.
- W2571082009 hasConceptScore W2571082009C41008148 @default.
- W2571082009 hasConceptScore W2571082009C50644808 @default.
- W2571082009 hasConceptScore W2571082009C74256435 @default.
- W2571082009 hasConceptScore W2571082009C78458016 @default.
- W2571082009 hasConceptScore W2571082009C86803240 @default.
- W2571082009 hasConceptScore W2571082009C98856871 @default.
- W2571082009 hasIssue "5" @default.
- W2571082009 hasLocation W25710820091 @default.
- W2571082009 hasLocation W25710820092 @default.
- W2571082009 hasOpenAccess W2571082009 @default.
- W2571082009 hasPrimaryLocation W25710820091 @default.
- W2571082009 hasRelatedWork W1497074610 @default.
- W2571082009 hasRelatedWork W2070890792 @default.
- W2571082009 hasRelatedWork W2098176359 @default.
- W2571082009 hasRelatedWork W2101929479 @default.
- W2571082009 hasRelatedWork W2116531472 @default.
- W2571082009 hasRelatedWork W2119056805 @default.
- W2571082009 hasRelatedWork W2137614377 @default.
- W2571082009 hasRelatedWork W2510819399 @default.
- W2571082009 hasRelatedWork W765408651 @default.
- W2571082009 hasRelatedWork W788193385 @default.
- W2571082009 hasVolume "8" @default.
- W2571082009 isParatext "false" @default.
- W2571082009 isRetracted "false" @default.
- W2571082009 magId "2571082009" @default.
- W2571082009 workType "article" @default.