A Fully Interpretable First-Order TSK Fuzzy System and Its Training With Negative Entropic and Rule-Stability-Based Regularization.
Erhao ZhouChi-Man VongYusuke NojimaShitong WangPublished in: IEEE Trans. Fuzzy Syst. (2023)
Keyphrases
- positive and negative
- classification rules
- early stopping
- training set
- higher order
- association rules
- training algorithm
- artificial neural networks
- online learning
- empirical risk minimization
- information theory
- regularization parameter
- horn clauses
- first order logic
- parameter selection
- training phase
- stability analysis
- data sets
- training examples
- training data
- image processing
- e learning
- learning algorithm