Comparison of neural-network learning algorithms for time-series prediction.
Koshy GeorgeMadhumita HarishSneha RaoKruthi MuraliPublished in: ICACCI (2017)
Keyphrases
- neural network
- learning algorithm
- artificial neural networks
- neural network model
- back propagation
- recurrent neural networks
- non stationary
- self organizing maps
- multi layer perceptron
- pattern recognition
- active learning
- prediction model
- radial basis function
- function approximation
- associative memory
- learning scheme
- machine learning algorithms
- fuzzy logic
- moving average
- mackey glass
- learning problems
- transfer learning
- fault diagnosis
- supervised learning