Structural optimization through neural networks for the anti-seismic design

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By Carlo Calledda

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Neural network-based algorithms find numerous applications in different scientific fields and, in particular, in the various areas of engineering. In Civil Engineering, however, there are still few applications of such methods. The purpose of this thesis is to apply the resolution capabilities of artificial neural networks to structural design.
Structural optimization through neural networks for the anti-seismic design