The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach
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Cites
Multilayer feedforward networks are universal approximators
Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90020-8 · Cited by 21,728
An Introduction to Genetic Algorithms
Mitchell, M. (1996) · doi:10.7551/mitpress/3927.001.0001 · Cited by 11,340
Genetic Algorithms and Engineering Optimization
Gen, M., & Cheng, R. (1999) · doi:10.1002/9780470172261 · Cited by 2,548
Cited by
Traffic Flow Prediction With Big Data: A Deep Learning Approach
Lv, Y., Duan, Y., Kang, W., Li, Z., & Wang, F.-Y. (2014) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2014.2345663 · Cited by 3,000
Short-term traffic forecasting: where we are and where we’re going
Vlahogianni, E. I., Karlaftis, M. G., & Golias, J. C. (2014) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2014.01.005 · Cited by 1,132
Self-citationReal-time road traffic prediction with spatio-temporal correlations
Min, W., & Wynter, L. (2011) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2010.10.002 · Cited by 668
Miglani, A., & Kumar, N. (2019) · Vehicular Communications · doi:10.1016/j.vehcom.2019.100184 · Cited by 295
Spatiotemporal traffic forecasting: review and proposed directions
Ermagun, A., & Levinson, D. (2018) · Transport Reviews · doi:10.1080/01441647.2018.1442887 · Cited by 231
Metadata
- Authors
- Vlahogianni, E. I., Karlaftis, M. G., & Golias, J. C.
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2005-06
- Volume
- 13
- Issue
- 3
- Pages
- 211-234
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W2082533141
- Cited by
- 613
- References
- 3
- FWCI
- 21.69
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Vlahogianni, E. I., Karlaftis, M. G., & Golias, J. C. (2005). Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach. Transportation Research Part C: Emerging Technologies. https://doi.org/10.1016/j.trc.2005.04.007
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
