Matches in SemOpenAlex for { <https://semopenalex.org/work/W2520244083> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2520244083 endingPage "103" @default.
- W2520244083 startingPage "92" @default.
- W2520244083 abstract "In this paper, a data grouping approach based on convolutional neural network (DGCNN) is proposed for forecasting urban short-term traffic flow. This approach includes the consideration of spatial relations between traffic locations, and utilizes such information to train a convolutional neural network for forecasting. There are three advantages of our approach: (1) the spatial relations of traffic flow are adopted; (2) high-quality features are extracted by CNN; and (3) the accuracy of forecasting short-term traffic flow is improved. To verify our model, extensive experiments are performed on a real data set, and the result shows that the model is more effective than other existing methods." @default.
- W2520244083 created "2016-09-23" @default.
- W2520244083 creator A5023363049 @default.
- W2520244083 creator A5066496436 @default.
- W2520244083 creator A5071285426 @default.
- W2520244083 date "2016-01-01" @default.
- W2520244083 modified "2023-09-24" @default.
- W2520244083 title "A Data Grouping CNN Algorithm for Short-Term Traffic Flow Forecasting" @default.
- W2520244083 cites W1509749701 @default.
- W2520244083 cites W1973943669 @default.
- W2520244083 cites W1990611565 @default.
- W2520244083 cites W2032717371 @default.
- W2520244083 cites W2097498150 @default.
- W2520244083 cites W2103849785 @default.
- W2520244083 cites W2135604164 @default.
- W2520244083 cites W2150010190 @default.
- W2520244083 cites W2155893237 @default.
- W2520244083 cites W2160507653 @default.
- W2520244083 cites W2165991108 @default.
- W2520244083 cites W2170196884 @default.
- W2520244083 cites W2293708710 @default.
- W2520244083 cites W252542266 @default.
- W2520244083 cites W4231109964 @default.
- W2520244083 cites W4251377326 @default.
- W2520244083 doi "https://doi.org/10.1007/978-3-319-45814-4_8" @default.
- W2520244083 hasPublicationYear "2016" @default.
- W2520244083 type Work @default.
- W2520244083 sameAs 2520244083 @default.
- W2520244083 citedByCount "15" @default.
- W2520244083 countsByYear W25202440832018 @default.
- W2520244083 countsByYear W25202440832019 @default.
- W2520244083 countsByYear W25202440832020 @default.
- W2520244083 countsByYear W25202440832021 @default.
- W2520244083 countsByYear W25202440832022 @default.
- W2520244083 crossrefType "book-chapter" @default.
- W2520244083 hasAuthorship W2520244083A5023363049 @default.
- W2520244083 hasAuthorship W2520244083A5066496436 @default.
- W2520244083 hasAuthorship W2520244083A5071285426 @default.
- W2520244083 hasConcept C11413529 @default.
- W2520244083 hasConcept C121332964 @default.
- W2520244083 hasConcept C124101348 @default.
- W2520244083 hasConcept C154945302 @default.
- W2520244083 hasConcept C177264268 @default.
- W2520244083 hasConcept C199360897 @default.
- W2520244083 hasConcept C207512268 @default.
- W2520244083 hasConcept C38652104 @default.
- W2520244083 hasConcept C41008148 @default.
- W2520244083 hasConcept C50644808 @default.
- W2520244083 hasConcept C58489278 @default.
- W2520244083 hasConcept C61797465 @default.
- W2520244083 hasConcept C62520636 @default.
- W2520244083 hasConcept C81363708 @default.
- W2520244083 hasConceptScore W2520244083C11413529 @default.
- W2520244083 hasConceptScore W2520244083C121332964 @default.
- W2520244083 hasConceptScore W2520244083C124101348 @default.
- W2520244083 hasConceptScore W2520244083C154945302 @default.
- W2520244083 hasConceptScore W2520244083C177264268 @default.
- W2520244083 hasConceptScore W2520244083C199360897 @default.
- W2520244083 hasConceptScore W2520244083C207512268 @default.
- W2520244083 hasConceptScore W2520244083C38652104 @default.
- W2520244083 hasConceptScore W2520244083C41008148 @default.
- W2520244083 hasConceptScore W2520244083C50644808 @default.
- W2520244083 hasConceptScore W2520244083C58489278 @default.
- W2520244083 hasConceptScore W2520244083C61797465 @default.
- W2520244083 hasConceptScore W2520244083C62520636 @default.
- W2520244083 hasConceptScore W2520244083C81363708 @default.
- W2520244083 hasLocation W25202440831 @default.
- W2520244083 hasOpenAccess W2520244083 @default.
- W2520244083 hasPrimaryLocation W25202440831 @default.
- W2520244083 hasRelatedWork W2250140425 @default.
- W2520244083 hasRelatedWork W2347880541 @default.
- W2520244083 hasRelatedWork W2362802221 @default.
- W2520244083 hasRelatedWork W2953116260 @default.
- W2520244083 hasRelatedWork W2997155179 @default.
- W2520244083 hasRelatedWork W2999747031 @default.
- W2520244083 hasRelatedWork W3005704161 @default.
- W2520244083 hasRelatedWork W3081496756 @default.
- W2520244083 hasRelatedWork W3082705149 @default.
- W2520244083 hasRelatedWork W3144574764 @default.
- W2520244083 isParatext "false" @default.
- W2520244083 isRetracted "false" @default.
- W2520244083 magId "2520244083" @default.
- W2520244083 workType "book-chapter" @default.