Matches in SemOpenAlex for { <https://semopenalex.org/work/W3104325020> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W3104325020 endingPage "220" @default.
- W3104325020 startingPage "211" @default.
- W3104325020 abstract "The application of supervised artificial neural networks (ANNs) for quasar selection from combined radio and optical surveys with photometric and morphological data is investigated, using the list of candidates and their classification from the work of White et al. Seven input parameters and one output, evaluated to 1 for quasars and 0 for non-quasars during the training, were used, with architectures 7: 1 and 7: 2: 1. Both models were trained on samples of ∼800 sources and yielded similar performance on independent test samples, with reliability as large as 87 per cent at 80 per cent completeness (or 90 to 80 per cent for completeness from 70 to 90 per cent). For comparison, the quasar fraction from the original candidate list was 56 per cent. The accuracy is similar to that found by White et al. using supervised learning with oblique decision trees and training samples of similar size. In view of the large degree of overlapping between quasars and non-quasars in the parameter space, this performance probably approaches the maximum value achievable with this data base. Predictions of the probabilities for the 98 candidates without spectroscopic classification in White et al. are presented and compared with the results from their work. The values obtained for the two ANN models and the decision trees are found to be in good agreement. This is the first analysis of the performance of ANNs for the selection of quasars. Our work shows that ANNs provide a promising technique for the selection of specific object types in astronomical data bases." @default.
- W3104325020 created "2020-11-23" @default.
- W3104325020 creator A5033347883 @default.
- W3104325020 creator A5077311472 @default.
- W3104325020 creator A5090546761 @default.
- W3104325020 date "2004-09-01" @default.
- W3104325020 modified "2023-09-23" @default.
- W3104325020 title "Selection of quasar candidates from combined radio and optical surveys using neural networks" @default.
- W3104325020 cites W1486149594 @default.
- W3104325020 cites W1563301769 @default.
- W3104325020 cites W1595919795 @default.
- W3104325020 cites W1965131794 @default.
- W3104325020 cites W1980501707 @default.
- W3104325020 cites W2015627966 @default.
- W3104325020 cites W2029912483 @default.
- W3104325020 cites W2036914160 @default.
- W3104325020 cites W2044326511 @default.
- W3104325020 cites W2142238829 @default.
- W3104325020 cites W2155482699 @default.
- W3104325020 cites W2160418365 @default.
- W3104325020 cites W2951539267 @default.
- W3104325020 cites W3098563791 @default.
- W3104325020 cites W3099624472 @default.
- W3104325020 cites W3103212644 @default.
- W3104325020 cites W3104300173 @default.
- W3104325020 doi "https://doi.org/10.1111/j.1365-2966.2004.08056.x" @default.
- W3104325020 hasPublicationYear "2004" @default.
- W3104325020 type Work @default.
- W3104325020 sameAs 3104325020 @default.
- W3104325020 citedByCount "4" @default.
- W3104325020 countsByYear W31043250202023 @default.
- W3104325020 crossrefType "journal-article" @default.
- W3104325020 hasAuthorship W3104325020A5033347883 @default.
- W3104325020 hasAuthorship W3104325020A5077311472 @default.
- W3104325020 hasAuthorship W3104325020A5090546761 @default.
- W3104325020 hasBestOaLocation W31043250201 @default.
- W3104325020 hasConcept C105795698 @default.
- W3104325020 hasConcept C121332964 @default.
- W3104325020 hasConcept C135041427 @default.
- W3104325020 hasConcept C153180895 @default.
- W3104325020 hasConcept C154945302 @default.
- W3104325020 hasConcept C33923547 @default.
- W3104325020 hasConcept C41008148 @default.
- W3104325020 hasConcept C44870925 @default.
- W3104325020 hasConcept C50644808 @default.
- W3104325020 hasConcept C81917197 @default.
- W3104325020 hasConcept C84525736 @default.
- W3104325020 hasConcept C98444146 @default.
- W3104325020 hasConceptScore W3104325020C105795698 @default.
- W3104325020 hasConceptScore W3104325020C121332964 @default.
- W3104325020 hasConceptScore W3104325020C135041427 @default.
- W3104325020 hasConceptScore W3104325020C153180895 @default.
- W3104325020 hasConceptScore W3104325020C154945302 @default.
- W3104325020 hasConceptScore W3104325020C33923547 @default.
- W3104325020 hasConceptScore W3104325020C41008148 @default.
- W3104325020 hasConceptScore W3104325020C44870925 @default.
- W3104325020 hasConceptScore W3104325020C50644808 @default.
- W3104325020 hasConceptScore W3104325020C81917197 @default.
- W3104325020 hasConceptScore W3104325020C84525736 @default.
- W3104325020 hasConceptScore W3104325020C98444146 @default.
- W3104325020 hasIssue "1" @default.
- W3104325020 hasLocation W31043250201 @default.
- W3104325020 hasLocation W31043250202 @default.
- W3104325020 hasLocation W31043250203 @default.
- W3104325020 hasLocation W31043250204 @default.
- W3104325020 hasOpenAccess W3104325020 @default.
- W3104325020 hasPrimaryLocation W31043250201 @default.
- W3104325020 hasRelatedWork W1975480893 @default.
- W3104325020 hasRelatedWork W2008086601 @default.
- W3104325020 hasRelatedWork W2010133960 @default.
- W3104325020 hasRelatedWork W2050942819 @default.
- W3104325020 hasRelatedWork W2342416117 @default.
- W3104325020 hasRelatedWork W2948195427 @default.
- W3104325020 hasRelatedWork W3098791626 @default.
- W3104325020 hasRelatedWork W3103114574 @default.
- W3104325020 hasRelatedWork W3145073591 @default.
- W3104325020 hasRelatedWork W4206820831 @default.
- W3104325020 hasVolume "353" @default.
- W3104325020 isParatext "false" @default.
- W3104325020 isRetracted "false" @default.
- W3104325020 magId "3104325020" @default.
- W3104325020 workType "article" @default.