Proceedings of the AAAI Conference on Artificial Intelligence· 2017
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
- 2,173citations
- 2017year
Short summary
A new deep learning model, ST-ResNet, can predict citywide crowd flows by simultaneously considering temporal patterns (closeness, period, trend) and spatial relationships, outperforming existing methods.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Building and Construction
Building and ConstructionEngineering