FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2020139827> ?p ?o ?g. }

• W2020139827 endingPage "1245" @default.
• W2020139827 startingPage "1229" @default.
• W2020139827 abstract "Artificial neural networks (ANNs) are used to estimate vertical ground surface movement when soils expand and contract due to changes in soil moisture content caused by changing climate conditions. Several counterpropagation ANN test cases were investigated to map climate data (i.e. temperature and rainfall) to vertical ground surface movement at field sites in Texas and Australia. Three of the four ANN test cases use a historical time series of climate data to forecast ground surface elevation relative to a specified datum. The fourth ANN test case predicts the rate of ground surface movement, and requires post-processing of the predicted rates to calculate ground surface elevation relative to a specified datum. The counterpropagation network has demonstrated a successful mapping of temperature and rainfall data to vertical ground surface movement at a field site when it is trained with a subset of data from the same field site (test cases 1 and 2). The results of training an ANN on one field site and testing it on another field site (test cases 3 and 4) demonstrate the ability of the ANN to capture trends in vertical ground surface movement. When compared with the predictions from a physics-based method (shrink test-water content method) that requires measurements/estimates of changes in soil water content, the ANN-based predictions (based on climatic changes) captured the trends in the field measurements of shrinking–swelling soil surface movements equally well. These findings are promising and merit further investigation with data from additional field sites. Copyright © 2007 John Wiley & Sons, Ltd." @default.
• W2020139827 created "2016-06-24" @default.
• W2020139827 creator A5008146559 @default.
• W2020139827 creator A5067263049 @default.
• W2020139827 creator A5074921180 @default.
• W2020139827 date "2008-07-01" @default.
• W2020139827 modified "2023-10-06" @default.
• W2020139827 title "Forecasting vertical ground surface movement from shrinking/swelling soils with artificial neural networks" @default.
• W2020139827 cites W1539183186 @default.
• W2020139827 cites W1966586349 @default.
• W2020139827 cites W2004196027 @default.
• W2020139827 cites W2018833708 @default.
• W2020139827 cites W2055120878 @default.
• W2020139827 cites W2069147679 @default.
• W2020139827 cites W2088015855 @default.
• W2020139827 cites W2106446218 @default.
• W2020139827 cites W2107939074 @default.
• W2020139827 cites W2109563136 @default.
• W2020139827 cites W2110886633 @default.
• W2020139827 cites W2128084896 @default.
• W2020139827 cites W2134088379 @default.
• W2020139827 cites W2141116748 @default.
• W2020139827 cites W2143956139 @default.
• W2020139827 cites W2149723649 @default.
• W2020139827 cites W2150559354 @default.
• W2020139827 cites W2171277043 @default.
• W2020139827 cites W4232670376 @default.
• W2020139827 cites W4292890447 @default.
• W2020139827 cites W4300402905 @default.
• W2020139827 cites W65738273 @default.
• W2020139827 doi "https://doi.org/10.1002/nag.666" @default.
• W2020139827 hasPublicationYear "2008" @default.
• W2020139827 type Work @default.
• W2020139827 sameAs 2020139827 @default.
• W2020139827 citedByCount "6" @default.
• W2020139827 countsByYear W20201398272012 @default.
• W2020139827 countsByYear W20201398272018 @default.
• W2020139827 countsByYear W20201398272021 @default.
• W2020139827 countsByYear W20201398272023 @default.
• W2020139827 crossrefType "journal-article" @default.
• W2020139827 hasAuthorship W2020139827A5008146559 @default.
• W2020139827 hasAuthorship W2020139827A5067263049 @default.
• W2020139827 hasAuthorship W2020139827A5074921180 @default.
• W2020139827 hasConcept C107038049 @default.
• W2020139827 hasConcept C115903868 @default.
• W2020139827 hasConcept C127313418 @default.
• W2020139827 hasConcept C127413603 @default.
• W2020139827 hasConcept C13280743 @default.
• W2020139827 hasConcept C138885662 @default.
• W2020139827 hasConcept C154945302 @default.
• W2020139827 hasConcept C159390177 @default.
• W2020139827 hasConcept C159750122 @default.
• W2020139827 hasConcept C16910744 @default.
• W2020139827 hasConcept C187320778 @default.
• W2020139827 hasConcept C202444582 @default.
• W2020139827 hasConcept C24939127 @default.
• W2020139827 hasConcept C2524010 @default.
• W2020139827 hasConcept C2780226923 @default.
• W2020139827 hasConcept C33923547 @default.
• W2020139827 hasConcept C37054046 @default.
• W2020139827 hasConcept C39432304 @default.
• W2020139827 hasConcept C41008148 @default.
• W2020139827 hasConcept C50644808 @default.
• W2020139827 hasConcept C58754882 @default.
• W2020139827 hasConcept C76177295 @default.
• W2020139827 hasConcept C76886044 @default.
• W2020139827 hasConcept C9652623 @default.
• W2020139827 hasConceptScore W2020139827C107038049 @default.
• W2020139827 hasConceptScore W2020139827C115903868 @default.
• W2020139827 hasConceptScore W2020139827C127313418 @default.
• W2020139827 hasConceptScore W2020139827C127413603 @default.
• W2020139827 hasConceptScore W2020139827C13280743 @default.
• W2020139827 hasConceptScore W2020139827C138885662 @default.
• W2020139827 hasConceptScore W2020139827C154945302 @default.
• W2020139827 hasConceptScore W2020139827C159390177 @default.
• W2020139827 hasConceptScore W2020139827C159750122 @default.
• W2020139827 hasConceptScore W2020139827C16910744 @default.
• W2020139827 hasConceptScore W2020139827C187320778 @default.
• W2020139827 hasConceptScore W2020139827C202444582 @default.
• W2020139827 hasConceptScore W2020139827C24939127 @default.
• W2020139827 hasConceptScore W2020139827C2524010 @default.
• W2020139827 hasConceptScore W2020139827C2780226923 @default.
• W2020139827 hasConceptScore W2020139827C33923547 @default.
• W2020139827 hasConceptScore W2020139827C37054046 @default.
• W2020139827 hasConceptScore W2020139827C39432304 @default.
• W2020139827 hasConceptScore W2020139827C41008148 @default.
• W2020139827 hasConceptScore W2020139827C50644808 @default.
• W2020139827 hasConceptScore W2020139827C58754882 @default.
• W2020139827 hasConceptScore W2020139827C76177295 @default.
• W2020139827 hasConceptScore W2020139827C76886044 @default.
• W2020139827 hasConceptScore W2020139827C9652623 @default.
• W2020139827 hasIssue "10" @default.
• W2020139827 hasLocation W20201398271 @default.
• W2020139827 hasOpenAccess W2020139827 @default.
• W2020139827 hasPrimaryLocation W20201398271 @default.
• W2020139827 hasRelatedWork W2015242569 @default.
• W2020139827 hasRelatedWork W2062843243 @default.
• W2020139827 hasRelatedWork W2082052857 @default.

• next