Fuzzy Systems with Sigmoid-Based Membership Functions as Interpretable Neural Networks.
Barnabás BedePublished in: IFSA/NAFIPS (2019)
Keyphrases
- fuzzy systems
- membership functions
- fuzzy rules
- fuzzy model
- rule base
- takagi sugeno
- neural network
- fuzzy logic
- fuzzy sets
- fuzzy inference system
- classification rules
- fuzzy modeling
- activation function
- fuzzy inference
- neuro fuzzy systems
- fuzzy neural network
- fuzzy partition
- fuzzy clustering
- fuzzy controller
- neural fuzzy
- information granulation
- fuzzy control
- nonlinear systems
- input variables
- neuro fuzzy
- soft computing
- computational intelligence
- fuzzy rule based systems
- fuzzy if then rules
- evolutionary computation
- fuzzy partitions
- rule sets
- fuzzy logic controller
- hidden layer
- fuzzy entropy
- real time
- fuzzy c means
- artificial neural networks
- fuzzy relations
- t norm
- information granules
- feed forward
- granular computing
- decision trees
- clustering algorithm
- recurrent neural networks
- input output
- data mining