Maximizing Buckling Load Factors of Fiber Placed Composite Cylindrical Shells by Particle Swarm Optimization

Güldü, Sedat
Kayran, Altan


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[ 1] Near-Earth space processes are highly nonlinear. Since the 1990s, a small group at the Middle East Technical University in Ankara has been working on a data-driven generic model of such processes, that is, forecasting and nowcasting of a near-Earth space parameter of interest. The model developed is called the Middle East Technical University Neural Network (METU-NN) model. The METU-NN is a data-driven neural network model of one hidden layer and several neurons. In order to understand more about the c...
Citation Formats
S. Güldü and A. Kayran, “Maximizing Buckling Load Factors of Fiber Placed Composite Cylindrical Shells by Particle Swarm Optimization,” 2015, Accessed: 00, 2020. [Online]. Available: