… model based on deep neural network was proposed for simultaneous online prediction of
… Deep neural network was constructed from a stacked auto-encoder, which had satisfactory …

… A new method for the prediction of network security situations based on recurrent neural
network with gated recurrent unit[J]. International Journal of Intelligent Computing and …

… Enhanced active learning for model-based predictive control … based on principles or
data-driven approaches are subject to … and updated online, then we learn a GPR model based on …

… , the data-driven car-following model was also reviewed from five … Development of a car-following
model based on combined … based microscopic car following model to predict traffic …

… , leveraging the advantages of both data-driven and model-based algorithms. The time-…
the performance of GP prediction. This integration is further combined with a generalized …

… method: a data-driven model based on subspace identification is proposed in [10], where the
least-square method is utilized to construct predictive … DS2211 through the combination of …

… Combining the deep learning theory and data-driven method, a long and short term memory
(LSTM) car-following model based on … the LSTM model based on PSO achieves a prediction …

… presented a visual analytics approach to forecast hotspots, … is to combine modelbased
analysis methods, such as graph … are also widely used in data-driven journalism to engage more …

… trajectories were reviewed from the data-driven prediction … method with Gaussian
mixture models for AIS-based vessel … Pedestrian trajectory prediction model based on self-attention …

… , model based algorithms, and data driven algorithms; Finally… reservoir data, combined with
feedback from exploration well … predict system dynamic behavior using data-driven methods …