Modelling of rolling and aging processes in copper alloy by Levenberg-Marquardt BP algorithm

Juanhua Su; Hejun Li; Qiming Dong; Ping Liu

doi:10.1007/11539117_28

Modelling of rolling and aging processes in copper alloy by Levenberg-Marquardt BP algorithm

Juanhua Su, Hejun Li, Qiming Dong, Ping Liu

School of Materials Sience and Engineering

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

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.

Original language	English
Pages (from-to)	185-189
Number of pages	5
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3611
Issue number	PART II
DOIs	https://doi.org/10.1007/11539117_28
State	Published - 2005
Event	First International Conference on Natural Computation, ICNC 2005 - Changsha, China Duration: 27 Aug 2005 → 29 Aug 2005

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10.1007/11539117_28

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@article{6dffcb49763e4eb0810289af6f3533ee,

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",

volume = "3611",

pages = "185--189",

journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

issn = "0302-9743",

publisher = "Springer Science and Business Media Deutschland GmbH",

number = "PART II",

note = "First International Conference on Natural Computation, ICNC 2005 ; Conference date: 27-08-2005 Through 29-08-2005",

}

Modelling of rolling and aging processes in copper alloy by Levenberg-Marquardt BP algorithm. / Su, Juanhua; Li, Hejun; Dong, Qiming et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3611, No. PART II, 2005, p. 185-189.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Modelling of rolling and aging processes in copper alloy by Levenberg-Marquardt BP algorithm

AU - Su, Juanhua

AU - Li, Hejun

AU - Dong, Qiming

AU - Liu, Ping

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

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U2 - 10.1007/11539117_28

DO - 10.1007/11539117_28

M3 - 会议文章

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VL - 3611

SP - 185

EP - 189

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

IS - PART II

T2 - First International Conference on Natural Computation, ICNC 2005

Y2 - 27 August 2005 through 29 August 2005

ER -

Modelling of rolling and aging processes in copper alloy by Levenberg-Marquardt BP algorithm

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