FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2080507495> ?p ?o ?g. }

• W2080507495 endingPage "79" @default.
• W2080507495 startingPage "71" @default.
• W2080507495 abstract "Artificial neural networks (ANNs) are one of the recently explored advanced technologies, which show promise in the area of transportation engineering. The presented study comprised the employment of this seldom used ANN method, generalized regression neural network (GRNN), in comparison to both a frequently applied neural network training algorithm, feed-forward back-propagation (FFBP), and a stochastic model of auto-regressive structure for the purpose of forecasting daily trip flows, which is an essential component in demand analysis. The study is carried out under the motivation of knowing that modeling daily trips for available transportation modes will facilitate the arrangement for effective public infrastructure investments and the cited papers in the literature did not make use of and handle any comparison with GRNN method. The ANN predictions are found to be quite close to the observations as reflected in the selected performance criteria. The selected stochastic model performance is quite poor compared with ANN results. It is seen that the GRNN did not provide negative forecasts in contrast to FFBP applications. Besides, the local minima problem faced by FFBP algorithm is not encountered in GRNNs." @default.
• W2080507495 created "2016-06-24" @default.
• W2080507495 creator A5011310926 @default.
• W2080507495 creator A5046487454 @default.
• W2080507495 date "2007-02-01" @default.
• W2080507495 modified "2023-10-01" @default.
• W2080507495 title "Public transportation trip flow modeling with generalized regression neural networks" @default.
• W2080507495 cites W1967681834 @default.
• W2080507495 cites W1978599555 @default.
• W2080507495 cites W1988489815 @default.
• W2080507495 cites W1998442441 @default.
• W2080507495 cites W2000441079 @default.
• W2080507495 cites W2003767009 @default.
• W2080507495 cites W2006774716 @default.
• W2080507495 cites W2009203913 @default.
• W2080507495 cites W2014581688 @default.
• W2080507495 cites W2020372185 @default.
• W2080507495 cites W2029050814 @default.
• W2080507495 cites W2037633404 @default.
• W2080507495 cites W2058292193 @default.
• W2080507495 cites W2085481869 @default.
• W2080507495 cites W2087070363 @default.
• W2080507495 cites W2088903070 @default.
• W2080507495 cites W2103496339 @default.
• W2080507495 cites W2106467968 @default.
• W2080507495 cites W2113442785 @default.
• W2080507495 cites W2137983211 @default.
• W2080507495 cites W2149723649 @default.
• W2080507495 cites W2165456507 @default.
• W2080507495 cites W2171234954 @default.
• W2080507495 cites W2256578114 @default.
• W2080507495 cites W3017323153 @default.
• W2080507495 cites W3125537303 @default.
• W2080507495 cites W4242686374 @default.
• W2080507495 doi "https://doi.org/10.1016/j.advengsoft.2006.08.003" @default.
• W2080507495 hasPublicationYear "2007" @default.
• W2080507495 type Work @default.
• W2080507495 sameAs 2080507495 @default.
• W2080507495 citedByCount "88" @default.
• W2080507495 countsByYear W20805074952012 @default.
• W2080507495 countsByYear W20805074952013 @default.
• W2080507495 countsByYear W20805074952014 @default.
• W2080507495 countsByYear W20805074952015 @default.
• W2080507495 countsByYear W20805074952016 @default.
• W2080507495 countsByYear W20805074952017 @default.
• W2080507495 countsByYear W20805074952018 @default.
• W2080507495 countsByYear W20805074952019 @default.
• W2080507495 countsByYear W20805074952020 @default.
• W2080507495 countsByYear W20805074952021 @default.
• W2080507495 countsByYear W20805074952022 @default.
• W2080507495 countsByYear W20805074952023 @default.
• W2080507495 crossrefType "journal-article" @default.
• W2080507495 hasAuthorship W2080507495A5011310926 @default.
• W2080507495 hasAuthorship W2080507495A5046487454 @default.
• W2080507495 hasConcept C119857082 @default.
• W2080507495 hasConcept C121332964 @default.
• W2080507495 hasConcept C127413603 @default.
• W2080507495 hasConcept C134306372 @default.
• W2080507495 hasConcept C152877465 @default.
• W2080507495 hasConcept C154945302 @default.
• W2080507495 hasConcept C155032097 @default.
• W2080507495 hasConcept C168167062 @default.
• W2080507495 hasConcept C186633575 @default.
• W2080507495 hasConcept C33923547 @default.
• W2080507495 hasConcept C41008148 @default.
• W2080507495 hasConcept C42475967 @default.
• W2080507495 hasConcept C50644808 @default.
• W2080507495 hasConcept C97355855 @default.
• W2080507495 hasConceptScore W2080507495C119857082 @default.
• W2080507495 hasConceptScore W2080507495C121332964 @default.
• W2080507495 hasConceptScore W2080507495C127413603 @default.
• W2080507495 hasConceptScore W2080507495C134306372 @default.
• W2080507495 hasConceptScore W2080507495C152877465 @default.
• W2080507495 hasConceptScore W2080507495C154945302 @default.
• W2080507495 hasConceptScore W2080507495C155032097 @default.
• W2080507495 hasConceptScore W2080507495C168167062 @default.
• W2080507495 hasConceptScore W2080507495C186633575 @default.
• W2080507495 hasConceptScore W2080507495C33923547 @default.
• W2080507495 hasConceptScore W2080507495C41008148 @default.
• W2080507495 hasConceptScore W2080507495C42475967 @default.
• W2080507495 hasConceptScore W2080507495C50644808 @default.
• W2080507495 hasConceptScore W2080507495C97355855 @default.
• W2080507495 hasIssue "2" @default.
• W2080507495 hasLocation W20805074951 @default.
• W2080507495 hasOpenAccess W2080507495 @default.
• W2080507495 hasPrimaryLocation W20805074951 @default.
• W2080507495 hasRelatedWork W1535694475 @default.
• W2080507495 hasRelatedWork W2005429992 @default.
• W2080507495 hasRelatedWork W2074231587 @default.
• W2080507495 hasRelatedWork W2082482750 @default.
• W2080507495 hasRelatedWork W2149173727 @default.
• W2080507495 hasRelatedWork W22125358 @default.
• W2080507495 hasRelatedWork W2349436282 @default.
• W2080507495 hasRelatedWork W2966878954 @default.
• W2080507495 hasRelatedWork W3203832838 @default.
• W2080507495 hasRelatedWork W2169830891 @default.
• W2080507495 hasVolume "38" @default.
• W2080507495 isParatext "false" @default.

• next