Identification of Dynamic System Using Neural Network Udс:550.34.04:51(045)
نویسنده
چکیده
Field of system identification have become important discipline. Identification is basically the process of developing or improving a mathematical representation of a physical system using experimental data. The artificial neural network is a newly developed technique among the identification methods. Dynamic function mapping, including the structural dynamic model is still a challenging topic in neural network applications. In this paper is presented a neural network approach for structural dynamic model identification. The neural network is trained and tested by using the responses recorded in a real frame during earthquakes. The obtained results show the great potential of using neural networks in structural dynamic model identification.
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