Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285039063> ?p ?o ?g. }
- W4285039063 abstract "Abstract In this work, we develop gradient boosting machines (GBMs) for forecasting the SYM‐H index multiple hours ahead using different combinations of solar wind and interplanetary magnetic field (IMF) parameters, derived parameters, and past SYM‐H values. Using Shapley Additive Explanation values to quantify the contributions from each input to predictions of the SYM‐H index from GBMs, we show that our predictions are consistent with physical understanding while also providing insight into the complex relationship between the solar wind and Earth's ring current. In particular, we found that feature contributions vary depending on the storm phase. We also perform a direct comparison between GBMs and neural networks presented in prior publications for forecasting the SYM‐H index by training, validating, and testing them on the same data. We find that the GBMs yield a statistically significant improvement in root mean squared error over the best published black‐box neural network schemes and the Burton equation." @default.
- W4285039063 created "2022-07-12" @default.
- W4285039063 creator A5053795386 @default.
- W4285039063 creator A5054362485 @default.
- W4285039063 creator A5069419261 @default.
- W4285039063 creator A5074190785 @default.
- W4285039063 creator A5080919636 @default.
- W4285039063 creator A5084177099 @default.
- W4285039063 creator A5088417541 @default.
- W4285039063 creator A5000080782 @default.
- W4285039063 date "2022-08-01" @default.
- W4285039063 modified "2023-10-18" @default.
- W4285039063 title "New Findings From Explainable SYM‐H Forecasting Using Gradient Boosting Machines" @default.
- W4285039063 cites W1480376833 @default.
- W4285039063 cites W1678356000 @default.
- W4285039063 cites W1965057733 @default.
- W4285039063 cites W1970488982 @default.
- W4285039063 cites W1974798730 @default.
- W4285039063 cites W1977515458 @default.
- W4285039063 cites W1997912130 @default.
- W4285039063 cites W1998820031 @default.
- W4285039063 cites W2020040954 @default.
- W4285039063 cites W2034008357 @default.
- W4285039063 cites W2046945713 @default.
- W4285039063 cites W2088794999 @default.
- W4285039063 cites W2091177078 @default.
- W4285039063 cites W2133972534 @default.
- W4285039063 cites W2152761983 @default.
- W4285039063 cites W2161501266 @default.
- W4285039063 cites W2178538403 @default.
- W4285039063 cites W2200720932 @default.
- W4285039063 cites W2487898712 @default.
- W4285039063 cites W2530667075 @default.
- W4285039063 cites W2735338621 @default.
- W4285039063 cites W2773165531 @default.
- W4285039063 cites W2806236786 @default.
- W4285039063 cites W2904708574 @default.
- W4285039063 cites W2911964244 @default.
- W4285039063 cites W2920947047 @default.
- W4285039063 cites W2964281925 @default.
- W4285039063 cites W3092896378 @default.
- W4285039063 cites W3094105990 @default.
- W4285039063 cites W3098897816 @default.
- W4285039063 cites W3102476541 @default.
- W4285039063 cites W3104446864 @default.
- W4285039063 cites W3107598914 @default.
- W4285039063 cites W3124674303 @default.
- W4285039063 cites W3133894893 @default.
- W4285039063 cites W3135517167 @default.
- W4285039063 cites W3159453823 @default.
- W4285039063 cites W3216660278 @default.
- W4285039063 cites W4212883601 @default.
- W4285039063 cites W4221081531 @default.
- W4285039063 cites W4246402729 @default.
- W4285039063 cites W4252130918 @default.
- W4285039063 cites W644812770 @default.
- W4285039063 doi "https://doi.org/10.1029/2021sw002928" @default.
- W4285039063 hasPublicationYear "2022" @default.
- W4285039063 type Work @default.
- W4285039063 citedByCount "4" @default.
- W4285039063 countsByYear W42850390632023 @default.
- W4285039063 crossrefType "journal-article" @default.
- W4285039063 hasAuthorship W4285039063A5000080782 @default.
- W4285039063 hasAuthorship W4285039063A5053795386 @default.
- W4285039063 hasAuthorship W4285039063A5054362485 @default.
- W4285039063 hasAuthorship W4285039063A5069419261 @default.
- W4285039063 hasAuthorship W4285039063A5074190785 @default.
- W4285039063 hasAuthorship W4285039063A5080919636 @default.
- W4285039063 hasAuthorship W4285039063A5084177099 @default.
- W4285039063 hasAuthorship W4285039063A5088417541 @default.
- W4285039063 hasBestOaLocation W42850390631 @default.
- W4285039063 hasConcept C105795698 @default.
- W4285039063 hasConcept C119857082 @default.
- W4285039063 hasConcept C136764020 @default.
- W4285039063 hasConcept C138885662 @default.
- W4285039063 hasConcept C139945424 @default.
- W4285039063 hasConcept C154945302 @default.
- W4285039063 hasConcept C169258074 @default.
- W4285039063 hasConcept C2776401178 @default.
- W4285039063 hasConcept C2777382242 @default.
- W4285039063 hasConcept C33923547 @default.
- W4285039063 hasConcept C41008148 @default.
- W4285039063 hasConcept C41895202 @default.
- W4285039063 hasConcept C46686674 @default.
- W4285039063 hasConcept C50644808 @default.
- W4285039063 hasConcept C70153297 @default.
- W4285039063 hasConceptScore W4285039063C105795698 @default.
- W4285039063 hasConceptScore W4285039063C119857082 @default.
- W4285039063 hasConceptScore W4285039063C136764020 @default.
- W4285039063 hasConceptScore W4285039063C138885662 @default.
- W4285039063 hasConceptScore W4285039063C139945424 @default.
- W4285039063 hasConceptScore W4285039063C154945302 @default.
- W4285039063 hasConceptScore W4285039063C169258074 @default.
- W4285039063 hasConceptScore W4285039063C2776401178 @default.
- W4285039063 hasConceptScore W4285039063C2777382242 @default.
- W4285039063 hasConceptScore W4285039063C33923547 @default.
- W4285039063 hasConceptScore W4285039063C41008148 @default.
- W4285039063 hasConceptScore W4285039063C41895202 @default.
- W4285039063 hasConceptScore W4285039063C46686674 @default.
- W4285039063 hasConceptScore W4285039063C50644808 @default.