@inproceedings{5d82b1af905a48c898611d6c84aa2898,
title = "Modelling of rolling and aging processes in copper alloy by Levenberg-Marquardt BP algorithm",
abstract = "Cold rolling is often carried out between the solid solution treatment and aging to assist in the aging hardening of Cu-Cr-Zr lead frame alloys. This paper presents the use of an artificial neural network(ANN) to model the nonlinear relationship between parameters of rolling and aging with respect to hardness properties of Cu-Cr-Zr alloy. Based on the Gauss-Newton algorithm, Levenberg-Marquardt algorithm with high stability is deduced. High precision of the model is demonstrated as well as good generalization performance. The results show that the Levenberg-Marquardt(L-M) backpropagation(BP) algorithm of ANN system is effective for predicting and analyzing the hardness properties of Cu-Cr-Zr lead frame alloy.",
author = "Juanhua Su and Hejun Li and Qiming Dong and Ping Liu",
year = "2005",
doi = "10.1007/11539117\_28",
language = "英语",
isbn = "9783540283256",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
number = "PART II",
pages = "185--189",
booktitle = "Advances in Natural Computation",
edition = "PART II",
note = "1st International Conference on Natural Computation, ICNC 2005 ; Conference date: 27-08-2005 Through 29-08-2005",
}