TY - GEN
T1 - Estimation methods of nonlinear regression initial parameter values for rubber material properties prediction
AU - Liang, Guowei
AU - Xu, Jingli
AU - Liu, Yan
AU - Wang, Danyong
AU - Li, Shuhu
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/11/24
Y1 - 2023/11/24
N2 - The accurate evaluation of rubber material properties is an important means to ensure the safe use of rubber products. Most of the relationships between rubber characteristic index and time are nonlinear regression models, and the estimation of the initial fitting parameters is an important subject in nonlinear regression analysis. In this paper, several methods of evaluating the initial values of nonlinear regression parameters are studied, and a problem of evaluating the aging properties of rubber materials is solved by applying these principles.
AB - The accurate evaluation of rubber material properties is an important means to ensure the safe use of rubber products. Most of the relationships between rubber characteristic index and time are nonlinear regression models, and the estimation of the initial fitting parameters is an important subject in nonlinear regression analysis. In this paper, several methods of evaluating the initial values of nonlinear regression parameters are studied, and a problem of evaluating the aging properties of rubber materials is solved by applying these principles.
KW - Estimation methods
KW - rubber materials
KW - the initial fitting parameters
KW - the nonlinear regression
UR - https://www.scopus.com/pages/publications/85197451512
U2 - 10.1145/3653724.3653736
DO - 10.1145/3653724.3653736
M3 - Conference contribution
AN - SCOPUS:85197451512
T3 - ACM International Conference Proceeding Series
SP - 64
EP - 67
BT - International Conference on Mathematics and Machine Learning, ICMML 2023
PB - Association for Computing Machinery
T2 - 2023 International Conference on Mathematics and Machine Learning, ICMML 2023
Y2 - 24 November 2023 through 26 November 2023
ER -