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Prediction of tensile properties in 3D printed GF/RPP composites using MISCSO-BP neural network

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Journal of Thermoplastic Composite Materials

Published online on

Abstract

Journal of Thermoplastic Composite Materials, Ahead of Print.
This study proposes a backpropagation (BP) neural network model based on the multi-strategy improved sand cat swarm optimization (MISCSO) algorithm to predict the tensile properties of glass fiber-reinforced recycled polypropylene (GF/RPP) composites ...