IEEE Transactions on Intelligent Transportation Systems· 2014Q1
Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning
- 1,142citations
- Q1SCImago
- 2014year
Short summary
A novel deep learning architecture combining Deep Belief Networks (DBN) for unsupervised feature learning with a multitask regression layer significantly improves traffic flow prediction accuracy by nearly 5% over state-of-the-art methods.
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