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

作者：Nikoo Mehdi; Hadzima Nyarko Marijana^*; Nyarko Emmanuel Karlo; Nikoo Mohammad

来源：Applied Artificial Intelligence, 2018, 32(3): 309-334.

DOI：10.1080/08839514.2018.1448003

An artificial neural network (ANN) 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 (GA), 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.

• 出版日期2018