Adjoint-Functions and Temporal Learning Algorithms in Neural Networks.
Nikzad Benny ToomarianJacob BarhenPublished in: NIPS (1990)
Keyphrases
- neural network
- learning algorithm
- back propagation
- spatial and temporal
- spatio temporal
- optimal control
- machine learning algorithms
- temporal data
- fuzzy logic
- temporal information
- machine learning
- pattern recognition
- temporal dimension
- fault diagnosis
- training algorithm
- temporal constraints
- recurrent neural networks
- temporal patterns
- data sets
- temporal relations
- artificial neural networks
- learning rules
- neural network model
- neural nets
- genetic algorithm
- training data
- training process
- rbf network
- temporal consistency
- efficient learning
- temporal analysis
- fuzzy systems
- feed forward
- learning tasks
- basis functions
- self organizing maps
- data mining
- training samples
- active learning
- expert systems
- support vector