An integration of fuzzy inference systems and Genetic Algorithms for Wireless Sensor Networks.
Ricardo A. L. RabêloMarcus Vinícius de Sousa LemosLíliam Barroso LealRaimir Holanda FilhoFabio A. S. BorgesPublished in: Int. J. Hybrid Intell. Syst. (2012)
Keyphrases
- fuzzy inference system
- wireless sensor networks
- fuzzy logic
- genetic algorithm
- information granulation
- neural network
- energy efficient
- fuzzy controller
- neuro fuzzy
- fuzzy rules
- input output
- membership functions
- evolutionary algorithm
- sensor networks
- decision making
- simulated annealing
- feed forward neural networks
- energy consumption
- takagi sugeno
- sensor nodes
- evolutionary computation
- fuzzy if then rules
- artificial neural networks
- fuzzy systems
- modular neural network
- fuzzy model
- routing algorithm
- fuzzy classification
- fuzzy neural
- computer vision
- initial values
- biological inspired
- nonlinear systems
- design methodology
- clustering algorithm
- real time
- knowledge discovery
- routing protocol
- fitness function
- clustering method
- genetic programming
- fuzzy sets