Effects of Input Parameter Range on the Accuracy of Artificial Neural Network Prediction for the Injection Molding Process

Effects of Input Parameter Range on the Accuracy of Artificial Neural Network Prediction for the Injection Molding Process

Artificial neural network (ANN) is a representative technique for identifying relationships that contain complex nonlinearities. However, few studies have analyzed the ANN’s ability to represent nonlinear or linear relationships between input and output parameters in injection molding. The melt temp...

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Bibliographic Details
Main Authors: Junhan Lee, Dongcheol Yang, Kyunghwan Yoon, Jongsun Kim
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Polymers
Subjects:
injection molding
artificial neural network (ANN)
quality prediction
linear regression
polynomial regression
nonlinearity
Online Access:https://www.mdpi.com/2073-4360/14/9/1724

Internet

https://www.mdpi.com/2073-4360/14/9/1724

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