Matches in SemOpenAlex for { <https://semopenalex.org/work/W2805624737> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2805624737 endingPage "353" @default.
- W2805624737 startingPage "329" @default.
- W2805624737 abstract "Abstract In this chapter we introduce a special kind of neural network known as a self-organizing map (SOM) and use it to cluster/classify pitch angle-resolved particle flux data obtained by instruments onboard satellites orbiting the Earth. As an example of the technique, we employ electron flux data at both relativistic and subrelativistic energies provided by two instruments onboard one of the twin NASA’s Van Allen Probes. For these data sets the SOM can identify the shapes of three well-known types of pitch angle distributions, and from that knowledge one can infer the associated physical mechanisms in the near-Earth space environment, particularly in the Van Allen radiation belts region. The SOM-based methodology can be used with multiplatform spacecraft data, thus enabling a prompt characterization of the physical processes throughout the Earth’s magnetosphere. The steps required to apply our neural network-based approach to pitch angle-resolved particle flux data from any spacecraft mission are laid out." @default.
- W2805624737 created "2018-06-13" @default.
- W2805624737 creator A5007341014 @default.
- W2805624737 creator A5008873396 @default.
- W2805624737 creator A5018247488 @default.
- W2805624737 creator A5024275963 @default.
- W2805624737 creator A5038768644 @default.
- W2805624737 creator A5065660725 @default.
- W2805624737 creator A5071269926 @default.
- W2805624737 creator A5091089819 @default.
- W2805624737 creator A5049414291 @default.
- W2805624737 date "2018-01-01" @default.
- W2805624737 modified "2023-10-06" @default.
- W2805624737 title "Classification of Magnetospheric Particle Distributions Via Neural Networks" @default.
- W2805624737 cites W1657263342 @default.
- W2805624737 cites W1943045868 @default.
- W2805624737 cites W1969948992 @default.
- W2805624737 cites W1978090441 @default.
- W2805624737 cites W1980444041 @default.
- W2805624737 cites W2003382941 @default.
- W2805624737 cites W2022051308 @default.
- W2805624737 cites W2022883321 @default.
- W2805624737 cites W2039044641 @default.
- W2805624737 cites W2039776955 @default.
- W2805624737 cites W2056176390 @default.
- W2805624737 cites W2072960437 @default.
- W2805624737 cites W2074805056 @default.
- W2805624737 cites W2083210817 @default.
- W2805624737 cites W2100439370 @default.
- W2805624737 cites W2143422071 @default.
- W2805624737 cites W2226123583 @default.
- W2805624737 cites W2296639829 @default.
- W2805624737 cites W2364790861 @default.
- W2805624737 cites W2513365001 @default.
- W2805624737 cites W2568876690 @default.
- W2805624737 cites W3013829771 @default.
- W2805624737 doi "https://doi.org/10.1016/b978-0-12-811788-0.00013-5" @default.
- W2805624737 hasPublicationYear "2018" @default.
- W2805624737 type Work @default.
- W2805624737 sameAs 2805624737 @default.
- W2805624737 citedByCount "3" @default.
- W2805624737 countsByYear W28056247372019 @default.
- W2805624737 countsByYear W28056247372020 @default.
- W2805624737 countsByYear W28056247372022 @default.
- W2805624737 crossrefType "book-chapter" @default.
- W2805624737 hasAuthorship W2805624737A5007341014 @default.
- W2805624737 hasAuthorship W2805624737A5008873396 @default.
- W2805624737 hasAuthorship W2805624737A5018247488 @default.
- W2805624737 hasAuthorship W2805624737A5024275963 @default.
- W2805624737 hasAuthorship W2805624737A5038768644 @default.
- W2805624737 hasAuthorship W2805624737A5049414291 @default.
- W2805624737 hasAuthorship W2805624737A5065660725 @default.
- W2805624737 hasAuthorship W2805624737A5071269926 @default.
- W2805624737 hasAuthorship W2805624737A5091089819 @default.
- W2805624737 hasConcept C111368507 @default.
- W2805624737 hasConcept C121332964 @default.
- W2805624737 hasConcept C127313418 @default.
- W2805624737 hasConcept C154945302 @default.
- W2805624737 hasConcept C2778517922 @default.
- W2805624737 hasConcept C41008148 @default.
- W2805624737 hasConcept C50644808 @default.
- W2805624737 hasConceptScore W2805624737C111368507 @default.
- W2805624737 hasConceptScore W2805624737C121332964 @default.
- W2805624737 hasConceptScore W2805624737C127313418 @default.
- W2805624737 hasConceptScore W2805624737C154945302 @default.
- W2805624737 hasConceptScore W2805624737C2778517922 @default.
- W2805624737 hasConceptScore W2805624737C41008148 @default.
- W2805624737 hasConceptScore W2805624737C50644808 @default.
- W2805624737 hasLocation W28056247371 @default.
- W2805624737 hasOpenAccess W2805624737 @default.
- W2805624737 hasPrimaryLocation W28056247371 @default.
- W2805624737 hasRelatedWork W1984321363 @default.
- W2805624737 hasRelatedWork W2037827836 @default.
- W2805624737 hasRelatedWork W2063245252 @default.
- W2805624737 hasRelatedWork W2386387936 @default.
- W2805624737 hasRelatedWork W2485579448 @default.
- W2805624737 hasRelatedWork W2748952813 @default.
- W2805624737 hasRelatedWork W2899084033 @default.
- W2805624737 hasRelatedWork W2935759653 @default.
- W2805624737 hasRelatedWork W30219697 @default.
- W2805624737 hasRelatedWork W3105167352 @default.
- W2805624737 isParatext "false" @default.
- W2805624737 isRetracted "false" @default.
- W2805624737 magId "2805624737" @default.
- W2805624737 workType "book-chapter" @default.