Development of an artificial neural network for predicting energy absorption capability of thermoplastic commingled composites
Abstract
Soft computing techniques including artificial neural networks (ANN) and machine learning reflect new possibilities to behavior prediction models of commingled composites. This study focuses on developing an artificial neural network capable of predicting the impact energy absorption capability of thermoplastic commingled composites, in the context of crashworthiness, based on a compilation of experimental results, multiple regression analytical...
Paper Details
Title
Development of an artificial neural network for predicting energy absorption capability of thermoplastic commingled composites
Published Date
Feb 1, 2021
Journal
Volume
257
Pages
113131 - 113131
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