Prediction of tensile properties in 3D printed GF/RPP composites using MISCSO-BP neural network
Journal of Thermoplastic Composite Materials
Published online on November 27, 2025
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 ...
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 ...