An ensemble based on neural networks with random weights for online data stream regression.
Ricardo de AlmeidaYee Mey GohRadmehr P. MonfaredMaria Teresinha Arns SteinerAndrew A. WestPublished in: Soft Comput. (2020)
Keyphrases
- neural network
- data streams
- regression problems
- pattern recognition
- neural network ensemble
- online learning
- sliding window
- artificial neural networks
- change detection
- regression model
- outlier detection
- feed forward
- linear combination
- ensemble methods
- back propagation
- continuous queries
- stream clustering
- regression forests
- neural network model
- ensemble learning
- akaike information criterion
- heavy hitters
- learning algorithm
- data stream mining
- transactional data
- support vector
- linear regression
- fuzzy logic
- model selection
- data sets
- prediction accuracy