Traditional Artificial Neural Networks Versus Deep Learning in Optimization of Material Aspects of 3D Printing.

ABSTRACT: 3D printing of assistive devices requires optimization of material selection, raw materials formulas, and complex printing processes that have to balance a high number of variable but highly correlated variables. The performance of patient-specific 3D printed solutions is still limited by both the increasing number of available materials with different properties (including multi-material printing) and the large number of process features that need to be optimized. The main purpose of this study is to compare the optimization of 3D printing properties toward the maximum tensile force of an exoskeleton sample based on two different approaches: traditional artificial neural networks (ANNs) and a deep learning (DL) approach based on convolutional neural networks (CNNs). Compared with the resu

SUBMITTER: Rojek I 

PROVIDER: S-EPMC8707385 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature