FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2063243511> ?p ?o ?g. }

• W2063243511 endingPage "782" @default.
• W2063243511 startingPage "775" @default.
• W2063243511 abstract "Abstract Agricultural, environmental and ecological modeling requires soil cation exchange capacity (CEC) that is difficult to measure. Pedotransfer functions (PTFs) are thus routinely applied to predict CEC from easily measured physicochemical properties ( e.g. , texture, soil organic matter, pH). This study developed the support vector machines (SVM)‐based PTFs to predict soil CEC based on 208 soil samples collected from A and B horizons in Qingdao City, Shandong Province, China. The database was randomly split into calibration and validation datasets in proportions of 3:1 using the bootstrap method. The optimal SVM parameters were searched by applying the genetic algorithm (GA). The performance of SVM models was compared to those of multiple stepwise regression (MSR) and artificial neural network (ANN) models. Results show that the accuracy of CEC predicted by SVM improves considerably over those predicted by MSR and ANN. The performance of SVM for B horizon ( R 2 = 0.85) is slightly better than that for A horizon ( R 2 = 0.81). The SVM is a powerful approach in the simulation of nonlinear relationship between CEC and physicochemical properties of widely distributed samples from different soil horizons. Sensitivity analysis was also conducted to explore the influence of each input parameter on the CEC predictions by SVM. The clay content is the most sensitive parameter, followed by soil organic matter and pH, while sand content has the weakest influence. This suggests that clay is the most important predictor for predicting CEC of both soil horizons." @default.
• W2063243511 created "2016-06-24" @default.
• W2063243511 creator A5009177247 @default.
• W2063243511 creator A5011069964 @default.
• W2063243511 creator A5035615265 @default.
• W2063243511 creator A5067936803 @default.
• W2063243511 creator A5074522952 @default.
• W2063243511 date "2014-08-14" @default.
• W2063243511 modified "2023-10-16" @default.
• W2063243511 title "Using support vector machines to predict cation exchange capacity of different soil horizons in Qingdao City, China" @default.
• W2063243511 cites W1963507870 @default.
• W2063243511 cites W1968685212 @default.
• W2063243511 cites W1972528914 @default.
• W2063243511 cites W1976725934 @default.
• W2063243511 cites W1991561299 @default.
• W2063243511 cites W1993655070 @default.
• W2063243511 cites W1995233437 @default.
• W2063243511 cites W1995558350 @default.
• W2063243511 cites W1998845734 @default.
• W2063243511 cites W2001435291 @default.
• W2063243511 cites W2011609374 @default.
• W2063243511 cites W2019022785 @default.
• W2063243511 cites W2020355555 @default.
• W2063243511 cites W2022105827 @default.
• W2063243511 cites W2023133544 @default.
• W2063243511 cites W2028992283 @default.
• W2063243511 cites W2037931255 @default.
• W2063243511 cites W2038621812 @default.
• W2063243511 cites W2048783303 @default.
• W2063243511 cites W2050114790 @default.
• W2063243511 cites W2050246757 @default.
• W2063243511 cites W2052328650 @default.
• W2063243511 cites W2056231512 @default.
• W2063243511 cites W2057970380 @default.
• W2063243511 cites W2061616610 @default.
• W2063243511 cites W2072546521 @default.
• W2063243511 cites W2077262972 @default.
• W2063243511 cites W2086877628 @default.
• W2063243511 cites W2087347434 @default.
• W2063243511 cites W2097672939 @default.
• W2063243511 cites W2112706851 @default.
• W2063243511 cites W2113664336 @default.
• W2063243511 cites W2131230754 @default.
• W2063243511 cites W2132995696 @default.
• W2063243511 cites W2139212933 @default.
• W2063243511 cites W2153689499 @default.
• W2063243511 cites W2156909104 @default.
• W2063243511 cites W3106889297 @default.
• W2063243511 doi "https://doi.org/10.1002/jpln.201300176" @default.
• W2063243511 hasPublicationYear "2014" @default.
• W2063243511 type Work @default.
• W2063243511 sameAs 2063243511 @default.
• W2063243511 citedByCount "20" @default.
• W2063243511 countsByYear W20632435112015 @default.
• W2063243511 countsByYear W20632435112016 @default.
• W2063243511 countsByYear W20632435112017 @default.
• W2063243511 countsByYear W20632435112018 @default.
• W2063243511 countsByYear W20632435112020 @default.
• W2063243511 countsByYear W20632435112021 @default.
• W2063243511 countsByYear W20632435112022 @default.
• W2063243511 countsByYear W20632435112023 @default.
• W2063243511 crossrefType "journal-article" @default.
• W2063243511 hasAuthorship W2063243511A5009177247 @default.
• W2063243511 hasAuthorship W2063243511A5011069964 @default.
• W2063243511 hasAuthorship W2063243511A5035615265 @default.
• W2063243511 hasAuthorship W2063243511A5067936803 @default.
• W2063243511 hasAuthorship W2063243511A5074522952 @default.
• W2063243511 hasConcept C119857082 @default.
• W2063243511 hasConcept C12267149 @default.
• W2063243511 hasConcept C159390177 @default.
• W2063243511 hasConcept C159750122 @default.
• W2063243511 hasConcept C164285268 @default.
• W2063243511 hasConcept C175963888 @default.
• W2063243511 hasConcept C178790620 @default.
• W2063243511 hasConcept C185592680 @default.
• W2063243511 hasConcept C197484155 @default.
• W2063243511 hasConcept C33923547 @default.
• W2063243511 hasConcept C39432304 @default.
• W2063243511 hasConcept C41008148 @default.
• W2063243511 hasConcept C48743137 @default.
• W2063243511 hasConcept C63184880 @default.
• W2063243511 hasConceptScore W2063243511C119857082 @default.
• W2063243511 hasConceptScore W2063243511C12267149 @default.
• W2063243511 hasConceptScore W2063243511C159390177 @default.
• W2063243511 hasConceptScore W2063243511C159750122 @default.
• W2063243511 hasConceptScore W2063243511C164285268 @default.
• W2063243511 hasConceptScore W2063243511C175963888 @default.
• W2063243511 hasConceptScore W2063243511C178790620 @default.
• W2063243511 hasConceptScore W2063243511C185592680 @default.
• W2063243511 hasConceptScore W2063243511C197484155 @default.
• W2063243511 hasConceptScore W2063243511C33923547 @default.
• W2063243511 hasConceptScore W2063243511C39432304 @default.
• W2063243511 hasConceptScore W2063243511C41008148 @default.
• W2063243511 hasConceptScore W2063243511C48743137 @default.
• W2063243511 hasConceptScore W2063243511C63184880 @default.
• W2063243511 hasIssue "5" @default.
• W2063243511 hasLocation W20632435111 @default.
• W2063243511 hasOpenAccess W2063243511 @default.

• next