Research laboratory in Industrial Safety Engineering and Sustainable Development

Institute of Maintenance and Industrial Safety


Curriculum vitae


University of Oran2 Mohamed ben Ahmed



Particle swarm optimization-based neural network for predicting fatigue strength in composite laminates of wind turbine blades


Journal article


Khaled Ziane, Soraya Zebirate, Adel Zaitri
Composites: Mechanics, Computations, Applications: An International Journal, vol. 6, 2015

Cite

Cite

APA   Click to copy
Ziane, K., Zebirate, S., & Zaitri, A. (2015). Particle swarm optimization-based neural network for predicting fatigue strength in composite laminates of wind turbine blades. Composites: Mechanics, Computations, Applications: An International Journal, 6.


Chicago/Turabian   Click to copy
Ziane, Khaled, Soraya Zebirate, and Adel Zaitri. “Particle Swarm Optimization-Based Neural Network for Predicting Fatigue Strength in Composite Laminates of Wind Turbine Blades.” Composites: Mechanics, Computations, Applications: An International Journal 6 (2015).


MLA   Click to copy
Ziane, Khaled, et al. “Particle Swarm Optimization-Based Neural Network for Predicting Fatigue Strength in Composite Laminates of Wind Turbine Blades.” Composites: Mechanics, Computations, Applications: An International Journal, vol. 6, 2015.


BibTeX   Click to copy

@article{ziane2015a,
  title = {Particle swarm optimization-based neural network for predicting fatigue strength in composite laminates of wind turbine blades},
  year = {2015},
  journal = {Composites: Mechanics, Computations, Applications: An International Journal},
  volume = {6},
  author = {Ziane, Khaled and Zebirate, Soraya and Zaitri, Adel}
}


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