A method of selecting similar learning data in the prediction of time series using neural networks.
Hisashi ShimodairaPublished in: ICNN (1995)
Keyphrases
- prior knowledge
- synthetic data
- neural network
- data sets
- correlation analysis
- learning algorithm
- neural nets
- noisy data
- statistical methods
- test data
- input data
- missing data
- training data
- learning process
- data sources
- predictive model
- bayesian methods
- unsupervised learning
- data structure
- prediction model
- multivariate time series
- radial basis function network
- genetic algorithm
- prediction error
- clustering algorithm
- similarity measure
- reinforcement learning
- background knowledge
- active learning
- bp neural network
- data analysis
- autoregressive
- artificial neural networks
- supervised learning
- data points
- probabilistic model