Training Physics-Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction.
Bo WangA. K. QinSajjad ShafieiHussein DiaAdriana Simona MihaitaHanna GrzybowskaPublished in: CoRR (2023)
Keyphrases
- multi task
- neural network
- multi task learning
- learning tasks
- transfer learning
- multiple tasks
- traffic density
- multi class
- feature selection
- gaussian processes
- learning problems
- sparse learning
- genetic algorithm
- supervised learning
- traffic flow
- optimization problems
- training set
- kernel function
- unsupervised learning
- learning algorithm
- sparsity inducing
- accelerated proximal gradient