ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Conference Paper A Study on the Material Properties and Process Conditions Reasoning using Regression and Classification of Machine Learning
Cited 0 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Hyunjong Kim, Hyunwoo Oh, Suyoung Chi
Issue Date
2023-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2023, pp.1298-1302
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC58733.2023.10393793
Abstract
In this paper, we explain the property prediction and manufacturing process condition inference methodology of ceramic materials with the introduction of AI models and perform PoC of the proposed method. We selected the optimal model by applying data with various input characteristics related to material properties to regression/classification machine learning models with proven performance. The accuracy of the final selected model was more than 90%, showing the possibility of drastically reducing the material development period.
KSP Keywords
Classification machine, Condition inference, Manufacturing processes, Optimal model, Process conditions, Property prediction, Regression and classification, ceramic material, input characteristics, machine learning models, material development