Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training.
Xingjun MaSudanthi N. R. WijewickremaShuo ZhouYun ZhouZakaria MhammediStephen J. O'LearyJames BaileyPublished in: IJCAI (2017)
Keyphrases
- real time
- neural network
- training process
- training algorithm
- multi layer perceptron
- feed forward neural networks
- echo state networks
- neural network training
- recurrent neural networks
- motor skills
- training patterns
- low cost
- fuzzy logic
- training phase
- training set
- feedforward neural networks
- recurrent networks
- training examples
- vision system
- relevance feedback
- backpropagation algorithm
- back propagation
- associative memory
- multi layer
- high speed
- visual feedback
- artificial neural networks
- neural network structure
- generation process
- feedback mechanisms
- real time systems
- error back propagation
- haptic feedback
- radial basis function network
- hidden layer
- user feedback
- neural nets
- test set
- sufficient conditions
- semi supervised
- control system
- pattern recognition
- reinforcement learning
- training data
- genetic algorithm