ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting.
Yu HuangJames LiMin ShiHanqi ZhuangXingquan ZhuLaurent M. ChérubinJames H. VanZwietenYufei TangPublished in: CoRR (2021)
Keyphrases
- spatio temporal
- neural network
- physical processes
- spatial and temporal
- pulse coupled neural network
- backpropagation neural networks
- pulse coupled neural networks
- financial forecasting
- recurrent networks
- genetic algorithm
- nonlinear dynamics
- pattern recognition
- computer science
- artificial neural networks
- fuzzy logic
- space time
- neural nets
- prediction model
- artificial intelligence
- image fusion algorithm
- moving objects
- spatio temporal data
- exchange rate
- recurrent neural networks
- short term
- back propagation
- feed forward
- neural network model
- image sequences
- image fusion
- image processing
- chaotic time series
- multilayer perceptron
- multiresolution
- dynamical systems
- spatio temporal databases
- radial basis function
- forecasting model
- infrared
- lyapunov theory
- human actions