Why Use Evolving Neuro-Fuzzy and Spiking Neural Networks for incremental and explainable learning of time series? A case study on predictive modelling of trade imports and outlier detection.
Iman AbouhassanNikola K. KasabovGeorge PopovRoumen TrifonovPublished in: IS (2022)
Keyphrases
- outlier detection
- neuro fuzzy
- hybrid learning
- spiking neural networks
- learning algorithm
- reinforcement learning
- online learning
- learning scheme
- data mining
- artificial neural networks
- data streams
- knowledge discovery
- rough sets
- detection algorithm
- learning strategies
- control system
- learning process
- biologically inspired
- learning rules
- computer vision
- detecting outliers