Online learning of neural networks using random projections and sliding window: A case study of a real industrial process.
Wagner J. AlvarengaFelipe V. CamposVítor M. HanriotEduardo B. GonçalvesAlexsander C. A. A. CostaLourenço R. G. AraújoEduardo MagalhãesAntônio P. BragaPublished in: Eng. Appl. Artif. Intell. (2021)
Keyphrases
- sliding window
- online learning
- random projections
- industrial process
- neural network
- random sampling
- data streams
- industrial processes
- window size
- dimensionality reduction
- dimension reduction
- fixed size
- principal component analysis
- fault detection
- e learning
- image reconstruction
- original data
- low dimensional
- pattern recognition
- hash functions
- sparse representation
- fuzzy logic
- active learning
- fault diagnosis
- nearest neighbor
- data points
- training set
- data mining