Mamdani fuzzy networks with feedforward rule bases for complex systems modelling.
Alexander E. GegovDavid A. SandersBoriana VatchovaPublished in: J. Intell. Fuzzy Syst. (2016)
Keyphrases
- complex systems
- rule base
- feed forward
- fuzzy rules
- membership functions
- fuzzy rule based systems
- fuzzy logic
- fuzzy logic controller
- linguistic rules
- fuzzy rule bases
- fuzzy systems
- fuzzy sets
- back propagation
- fuzzy inference system
- fuzzy reasoning
- fuzzy membership functions
- dynamic systems
- fuzzy controller
- fuzzy cognitive maps
- rule based systems
- fuzzy model
- adaptive neural
- neural network
- artificial neural networks
- recurrent networks
- production rules
- recurrent neural networks
- neuro fuzzy
- fuzzy modeling
- fuzzy inference
- fuzzy clustering
- hidden layer
- fuzzy neural network
- takagi sugeno
- visual cortex
- activation function
- knowledge base
- biological systems
- fuzzy control
- technical systems
- rule sets
- neural fuzzy
- classification rules
- defeasible logic
- multi agent systems
- rough sets
- steady state simulation
- agent based models
- decision rules
- nonlinear systems
- artificial intelligence
- computational intelligence
- real time
- learning algorithm
- error rate