Matches in SemOpenAlex for { <https://semopenalex.org/work/W2887934340> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2887934340 endingPage "880" @default.
- W2887934340 startingPage "876" @default.
- W2887934340 abstract "Mun, J.; Kim, S.-W., and Melby, J. A. 2018. A surrogate model for wave prediction based on an artificial neural network using high-fidelity synthetic hurricane modelling. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 876–880. Coconut Creek (Florida), ISSN 0749-0208.A surrogate model for significant wave height and period prediction is developed based on an artificial neural network with synthetic simulations of hurricanes. The neural networks between five input parameters and the wave height or wave period are trained by the Levenberg-Marquardt backpropagation algorithm. A back propagation is a form of supervising training algorithm and the weighting factors and the bias are updated by the back propagation training within a limited epoch. The data consists high intensity 446 storms on west region in Texas. The 14 save points in this area are analysed by the surrogate model. The performance of the static surrogate model for the significant waves is expressed as the correlation coefficient and the mean square error at the 14 save points. The minimum correlation coefficient and the mean square error are respectively 0.981 and 0.011. The predicted wave height and period are good agreement with the target values." @default.
- W2887934340 created "2018-08-22" @default.
- W2887934340 creator A5003891259 @default.
- W2887934340 creator A5060320884 @default.
- W2887934340 creator A5085718305 @default.
- W2887934340 date "2018-05-01" @default.
- W2887934340 modified "2023-10-18" @default.
- W2887934340 title "A Surrogate Model for Wave Prediction Based on an Artificial Neural Network Using High-fidelity Synthetic Hurricane Modelling" @default.
- W2887934340 cites W1967581660 @default.
- W2887934340 cites W2001521497 @default.
- W2887934340 cites W2083763170 @default.
- W2887934340 cites W2915262721 @default.
- W2887934340 doi "https://doi.org/10.2112/si85-176.1" @default.
- W2887934340 hasPublicationYear "2018" @default.
- W2887934340 type Work @default.
- W2887934340 sameAs 2887934340 @default.
- W2887934340 citedByCount "0" @default.
- W2887934340 crossrefType "journal-article" @default.
- W2887934340 hasAuthorship W2887934340A5003891259 @default.
- W2887934340 hasAuthorship W2887934340A5060320884 @default.
- W2887934340 hasAuthorship W2887934340A5085718305 @default.
- W2887934340 hasConcept C105795698 @default.
- W2887934340 hasConcept C111368507 @default.
- W2887934340 hasConcept C11413529 @default.
- W2887934340 hasConcept C121332964 @default.
- W2887934340 hasConcept C127313418 @default.
- W2887934340 hasConcept C131675550 @default.
- W2887934340 hasConcept C139945424 @default.
- W2887934340 hasConcept C153294291 @default.
- W2887934340 hasConcept C154945302 @default.
- W2887934340 hasConcept C155032097 @default.
- W2887934340 hasConcept C165082838 @default.
- W2887934340 hasConcept C183115368 @default.
- W2887934340 hasConcept C205649164 @default.
- W2887934340 hasConcept C24890656 @default.
- W2887934340 hasConcept C2780092901 @default.
- W2887934340 hasConcept C33923547 @default.
- W2887934340 hasConcept C41008148 @default.
- W2887934340 hasConcept C50644808 @default.
- W2887934340 hasConcept C70620910 @default.
- W2887934340 hasConcept C85910571 @default.
- W2887934340 hasConceptScore W2887934340C105795698 @default.
- W2887934340 hasConceptScore W2887934340C111368507 @default.
- W2887934340 hasConceptScore W2887934340C11413529 @default.
- W2887934340 hasConceptScore W2887934340C121332964 @default.
- W2887934340 hasConceptScore W2887934340C127313418 @default.
- W2887934340 hasConceptScore W2887934340C131675550 @default.
- W2887934340 hasConceptScore W2887934340C139945424 @default.
- W2887934340 hasConceptScore W2887934340C153294291 @default.
- W2887934340 hasConceptScore W2887934340C154945302 @default.
- W2887934340 hasConceptScore W2887934340C155032097 @default.
- W2887934340 hasConceptScore W2887934340C165082838 @default.
- W2887934340 hasConceptScore W2887934340C183115368 @default.
- W2887934340 hasConceptScore W2887934340C205649164 @default.
- W2887934340 hasConceptScore W2887934340C24890656 @default.
- W2887934340 hasConceptScore W2887934340C2780092901 @default.
- W2887934340 hasConceptScore W2887934340C33923547 @default.
- W2887934340 hasConceptScore W2887934340C41008148 @default.
- W2887934340 hasConceptScore W2887934340C50644808 @default.
- W2887934340 hasConceptScore W2887934340C70620910 @default.
- W2887934340 hasConceptScore W2887934340C85910571 @default.
- W2887934340 hasLocation W28879343401 @default.
- W2887934340 hasOpenAccess W2887934340 @default.
- W2887934340 hasPrimaryLocation W28879343401 @default.
- W2887934340 hasRelatedWork W2029143493 @default.
- W2887934340 hasRelatedWork W2109542113 @default.
- W2887934340 hasRelatedWork W2884132011 @default.
- W2887934340 hasRelatedWork W2942773263 @default.
- W2887934340 hasRelatedWork W3138400190 @default.
- W2887934340 hasRelatedWork W3211198013 @default.
- W2887934340 hasRelatedWork W4213016846 @default.
- W2887934340 hasRelatedWork W4292470280 @default.
- W2887934340 hasRelatedWork W2200778530 @default.
- W2887934340 hasRelatedWork W2516580779 @default.
- W2887934340 hasVolume "85" @default.
- W2887934340 isParatext "false" @default.
- W2887934340 isRetracted "false" @default.
- W2887934340 magId "2887934340" @default.
- W2887934340 workType "article" @default.