Matches in SemOpenAlex for { <https://semopenalex.org/work/W2256231330> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W2256231330 abstract "The environmental costs of intensive farming activities are often under-estimated or not included into rural development plans, even though they play an important role in addressing future society's needs. This paper focuses on the use of statistical learning methods to predict N2O emissions and N leaching under several conservative scenarios, in order to provide an alternative approach to deterministic models on a macro-scale. To that aim, three learning methods, namely neural networks (multilayer perceptrons), SVM and random forests, are compared and provide accurate solutions." @default.
- W2256231330 created "2016-06-24" @default.
- W2256231330 creator A5000001430 @default.
- W2256231330 creator A5009531781 @default.
- W2256231330 creator A5084517979 @default.
- W2256231330 date "2010-06-10" @default.
- W2256231330 modified "2023-10-14" @default.
- W2256231330 title "A comparison of three learning methods to predict N2O fluxes and N leaching" @default.
- W2256231330 cites W1554663460 @default.
- W2256231330 cites W1594031697 @default.
- W2256231330 cites W1604938182 @default.
- W2256231330 cites W1755117326 @default.
- W2256231330 cites W188554010 @default.
- W2256231330 cites W1983277089 @default.
- W2256231330 cites W2000532370 @default.
- W2256231330 cites W2001842014 @default.
- W2256231330 cites W2020124049 @default.
- W2256231330 cites W2052250761 @default.
- W2256231330 cites W2087347434 @default.
- W2256231330 cites W2113242816 @default.
- W2256231330 cites W2120240539 @default.
- W2256231330 cites W2122266551 @default.
- W2256231330 cites W2133642590 @default.
- W2256231330 cites W2137680348 @default.
- W2256231330 cites W2137999134 @default.
- W2256231330 cites W2144513243 @default.
- W2256231330 cites W2153635508 @default.
- W2256231330 cites W2155632266 @default.
- W2256231330 cites W2156909104 @default.
- W2256231330 cites W2172009270 @default.
- W2256231330 cites W2911964244 @default.
- W2256231330 hasPublicationYear "2010" @default.
- W2256231330 type Work @default.
- W2256231330 sameAs 2256231330 @default.
- W2256231330 citedByCount "0" @default.
- W2256231330 crossrefType "proceedings-article" @default.
- W2256231330 hasAuthorship W2256231330A5000001430 @default.
- W2256231330 hasAuthorship W2256231330A5009531781 @default.
- W2256231330 hasAuthorship W2256231330A5084517979 @default.
- W2256231330 hasBestOaLocation W22562313301 @default.
- W2256231330 hasConcept C159390177 @default.
- W2256231330 hasConcept C159750122 @default.
- W2256231330 hasConcept C39432304 @default.
- W2256231330 hasConcept C41008148 @default.
- W2256231330 hasConcept C90982505 @default.
- W2256231330 hasConceptScore W2256231330C159390177 @default.
- W2256231330 hasConceptScore W2256231330C159750122 @default.
- W2256231330 hasConceptScore W2256231330C39432304 @default.
- W2256231330 hasConceptScore W2256231330C41008148 @default.
- W2256231330 hasConceptScore W2256231330C90982505 @default.
- W2256231330 hasLocation W22562313301 @default.
- W2256231330 hasLocation W22562313302 @default.
- W2256231330 hasLocation W22562313303 @default.
- W2256231330 hasOpenAccess W2256231330 @default.
- W2256231330 hasPrimaryLocation W22562313301 @default.
- W2256231330 hasRelatedWork W1462747170 @default.
- W2256231330 hasRelatedWork W1964815820 @default.
- W2256231330 hasRelatedWork W2043221436 @default.
- W2256231330 hasRelatedWork W2186281609 @default.
- W2256231330 hasRelatedWork W2362562628 @default.
- W2256231330 hasRelatedWork W2382512489 @default.
- W2256231330 hasRelatedWork W2899084033 @default.
- W2256231330 hasRelatedWork W3088674500 @default.
- W2256231330 hasRelatedWork W3112256489 @default.
- W2256231330 hasRelatedWork W3201188888 @default.
- W2256231330 isParatext "false" @default.
- W2256231330 isRetracted "false" @default.
- W2256231330 magId "2256231330" @default.
- W2256231330 workType "article" @default.