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izvor podataka: crosbi

Determining the Natural Frequency of Cantilever Beams using ANN and Heuristic Search (CROSBI ID 249205)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Nikoo, Mehdi ; Hadzima-Nyarko, Marijana ; Nyarko, Emmanuel Karlo ; Nikoo, Mohammad Determining the Natural Frequency of Cantilever Beams using ANN and Heuristic Search // Applied artificial intelligence, 32 (2018), 3; 309-334. doi: 10.1080/08839514.2018.1448003

Podaci o odgovornosti

Nikoo, Mehdi ; Hadzima-Nyarko, Marijana ; Nyarko, Emmanuel Karlo ; Nikoo, Mohammad

engleski

Determining the Natural Frequency of Cantilever Beams using ANN and Heuristic Search

An Artificial Neural Network is used to model the frequency of the first mode, using the beam length, the moment of inertia, and the load applied on the beam as input parameters on a database of 100 samples. Three different heuristic optimization methods are used to train the ANN: Genetic Algorithm, Particle Swarm Optimization Algorithm and Imperialist Competitive Algorithm. The suitability of these algorithms in training ANN is determined based on accuracy and runtime performance. Results show that, in determining the natural frequency of cantilever beams, the ANN model trained using GA outperforms the other models in terms of accuracy.

Cantilever Beam ; First Mode Frequency ; Artificial Neural Network, Imperialist Competitive Algorithm ; Genetic Algorithm ; Particle Swarm Optimization Algorithm

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Podaci o izdanju

32 (3)

2018.

309-334

objavljeno

0883-9514

1087-6545

10.1080/08839514.2018.1448003

Povezanost rada

Građevinarstvo, Računarstvo

Poveznice
Indeksiranost