Deep Convolutional Neural Networks with Random Subspace Learning for Short-term Traffic Flow Prediction with Incomplete Data.
Shijie LiaoJing ChenJiaxin HouQingyu XiongJunhao WenPublished in: IJCNN (2018)
Keyphrases
- short term
- incomplete data
- traffic flow
- subspace learning
- convolutional neural networks
- long term
- load forecasting
- dimensionality reduction
- short term prediction
- missing data
- arima model
- bayesian networks
- missing values
- short term and long term
- travel time
- manifold learning
- cellular automata
- data representation
- sparse representation
- sparse coding
- em algorithm
- low dimensional
- high dimensional data
- semi supervised
- neural network
- principal component analysis
- face recognition
- lane change
- learning algorithm
- prediction model
- forecasting model
- wind speed
- machine learning