Training neural networks to detect freeway incidents by using particle swarm optimization
Transportation Research Record
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2014
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sg-nus-scholar.10635-508082015-01-06T13:02:55Z Training neural networks to detect freeway incidents by using particle swarm optimization Cheu, R.L. Srinivasan, D. Loo, W.H. CIVIL ENGINEERING ELECTRICAL & COMPUTER ENGINEERING Transportation Research Record 1867 11-18 TRRED 2014-04-23T08:17:16Z 2014-04-23T08:17:16Z 2004 Conference Paper Cheu, R.L.,Srinivasan, D.,Loo, W.H. (2004). Training neural networks to detect freeway incidents by using particle swarm optimization. Transportation Research Record (1867) : 11-18. ScholarBank@NUS Repository. 03611981 http://scholarbank.nus.edu.sg/handle/10635/50808 NOT_IN_WOS Scopus |
| institution |
National University of Singapore |
| building |
NUS Library |
| country |
Singapore |
| collection |
ScholarBank@NUS |
| description |
Transportation Research Record |
| author2 |
CIVIL ENGINEERING |
| author_facet |
CIVIL ENGINEERING Cheu, R.L. Srinivasan, D. Loo, W.H. |
| format |
Conference or Workshop Item |
| author |
Cheu, R.L. Srinivasan, D. Loo, W.H. |
| spellingShingle |
Cheu, R.L. Srinivasan, D. Loo, W.H. Training neural networks to detect freeway incidents by using particle swarm optimization |
| author_sort |
Cheu, R.L. |
| title |
Training neural networks to detect freeway incidents by using particle swarm optimization |
| title_short |
Training neural networks to detect freeway incidents by using particle swarm optimization |
| title_full |
Training neural networks to detect freeway incidents by using particle swarm optimization |
| title_fullStr |
Training neural networks to detect freeway incidents by using particle swarm optimization |
| title_full_unstemmed |
Training neural networks to detect freeway incidents by using particle swarm optimization |
| title_sort |
training neural networks to detect freeway incidents by using particle swarm optimization |
| publishDate |
2014 |
| url |
http://scholarbank.nus.edu.sg/handle/10635/50808 |
| _version_ |
1681083734312353792 |