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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Detalles Bibliográficos
Autores principales: Lee, Junhan, Yang, Dongcheol, Yoon, Kyunghwan, Kim, Jongsun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105118/
https://www.ncbi.nlm.nih.gov/pubmed/35566893
http://dx.doi.org/10.3390/polym14091724

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105118/
https://www.ncbi.nlm.nih.gov/pubmed/35566893
http://dx.doi.org/10.3390/polym14091724

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