Classification of Sonar Targets Using an MLP Neural Network Trained by Dragonfly Algorithm

Author:

Khishe MohammadORCID,Safari Abbas

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference33 articles.

1. Mosavi, M. R., Khishe, M., & Ebrahimi, E. (2015). Classification of sonar targets using OMKC, genetic algorithms and statistical moments. Journal of Advances in Computer Research, 7(1), 50–59.

2. Mosavi, M. R., Khishe, M., Aghababaei, M., & Mohammadzadeh, F. (2015). Approximation of active sonar Clutter’s statistical parameters using array’s effective beam-width. Iranian Journal of Marine Science and Technology, 73(1), 11–22.

3. Simon, D. (2008). Biogeography-based optimization. IEEE Ttransactions on Evolutionary on Computation, 12(6), 702–713.

4. Auer, P., Burgsteiner, H., & Maass, W. (2008). A learning rule for very simple universal approximators consisting of a single layer of perceptrons. Neural Networks, 21(5), 786–795.

5. Mirjalili, S. M., & Mirjalili, S. (2014). Oval-shaped-hole photonic crystal waveguide design by MoMIR framework. Photonics Technol Letters Issue, 99, 1.

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