Cargando…
Intelligent control: a hybrid approach based on fuzzy logic, neural networks and genetic algorithms
Intelligent Control considers non-traditional modelling and control approaches to nonlinear systems. Fuzzy logic, neural networks and evolutionary computing techniques are the main tools used. The book presents a modular switching fuzzy logic controller where a PD-type fuzzy controller is executed f...
Autor principal: | Siddique, Nazmul |
---|---|
Lenguaje: | eng |
Publicado: |
Springer
2014
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-02135-5 http://cds.cern.ch/record/1635150 |
Ejemplares similares
-
Intelligent hybrid systems: fuzzy logic, neural networks, and genetic algorithms
por: Ruan, Da
Publicado: (1997) -
Computational intelligence: synergies of fuzzy logic, neural networks and evolutionary computing
por: Siddique, Nazmul, et al.
Publicado: (2013) -
Intelligent control: aspects of fuzzy logic and neural nets
por: Harris, C J, et al.
Publicado: (1993) -
Design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization
por: Melin, Patricia, et al.
Publicado: (2015) -
A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation
por: Tahmasebi, Pejman, et al.
Publicado: (2012)