Research on Yield Prediction Technology for Aerospace Engine Production Lines Based on Convolutional Neural Networks-Improved Support Vector Regression

Research on Yield Prediction Technology for Aerospace Engine Production Lines Based on Convolutional Neural Networks-Improved Support Vector Regression

Improving the prediction accuracy of aerospace engine production line yields is of significant importance for enhancing production efficiency and optimizing production scheduling in enterprises. To address this, a novel method called Convolutional Neural Networks-Improved Support Vector Regression (...

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Bibliographic Details
Main Authors: Hongjun Liu, Boyuan Li, Chang Liu, Mengqi Zu, Minhao Lin
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Machines
Subjects:
aerospace engine production line
convolutional neural networks
support vector regression
genetic algorithm
yield prediction
Online Access:https://www.mdpi.com/2075-1702/11/9/875

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