Aplikace umělé inteligence v polymerních kompozitních materiálech

Abstract

This process deals with the use of neural networks to predict the influence of geometrical factors in the production of laminates. Geometrical factors related to the shapes of laminate products are used for design proposals for body parts of transportation equipment. These factors were evaluated: the influence of thickness, curvature and shear of laminate samples at their natural frequency of the dynamic excitation of speaker. The goal is to create and confirm the neural network model for predicting the natural frequencies of these samples.