Intelligent manufacturing quality prediction model and evaluation system based on big data machine learning

Abstract

This study addresses the challenges in the development of intelligent manufacturing by constructing a quality prediction model and evaluation system. To build the quality prediction model and evaluation system, we effectively investigated the construction of the intelligent manufacturing quality prediction model and evaluation system using extreme learning machine neural network and particle swarm optimization algorithms, combined with a big data machine learning system. The prediction results of the system were experimentally analysed to verify its performance. The experimental data showed that the prediction results of the system for each evaluation index of product quality were consistent with the actual product quality detection results. Importantly, the prediction results of the system can meet the requirements and are of great significance to the development of intelligent manufacturing.