ENHANCING CONFORMANCE OF INJECTION BLOW MOLDING BY INTEGRATING MACHINE LEARNING MODELING AND TAGUCHI PARAMETER DESIGN-Reference-Cited by-同舟云学术

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ENHANCING CONFORMANCE OF INJECTION BLOW MOLDING BY INTEGRATING MACHINE LEARNING MODELING AND TAGUCHI PARAMETER DESIGN

Published:2018-11-17 Issue:5 Volume:53 Page:519-535
ISSN:0972-3617
Container-title:Advances and Applications in Statistics
language:
Short-container-title:ADAS

Author:

Altarazi Safwan

Publisher

Pushpa Publishing House

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Vision-based Online Defect Detection of Polymeric Film via Structural Quality Metrics;Management and Production Engineering Review;2023-03-17

2. Predicting the tensile strength of materials applying machine learning for polymeric manufacturing;2022 IEEE International Conference on Nanoelectronics, Nanophotonics, Nanomaterials, Nanobioscience & Nanotechnology (5NANO);2022-04-28

3. Machine Learning Models for Predicting and Classifying the Tensile Strength of Polymeric Films Fabricated via Different Production Processes;Materials;2019-05-07

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