Enhancing neural control systems by fuzzy logic and evolutionary reinforcement.
Henry O. NyongesaPublished in: Neural Comput. Appl. (1998)
Keyphrases
- fuzzy logic
- control system
- evolutionary computation
- neural fuzzy
- fitted q iteration
- neural network
- genetic algorithm
- network architecture
- evolutionary computing
- intelligent control
- evolutionary robotics
- soft computing
- computational intelligence
- fuzzy sets
- control algorithm
- reinforcement learning
- evolutionary optimization
- fuzzy control
- closed loop
- control scheme
- fuzzy inference
- membership functions
- neural model
- control strategy
- process control
- neural computation
- neural networks and genetic algorithms
- pid controller
- artificial neural
- model predictive control
- real time
- fuzzy rules
- control method
- neural information processing
- decision making
- bio inspired
- moving target defense
- fuzzy set theory
- rule base
- industrial automation
- nonlinear predictive control
- fuzzy inference system
- control law
- fuzzy systems
- fuzzy controller
- expert systems
- artificial intelligence
- phylogenetic trees
- learning rules
- biologically plausible
- biologically inspired
- swarm intelligence
- genetic programming
- multi objective
- artificial neural networks
- machine learning
- data mining