Prediction of superplastic properties of lead brass based on BP neural network

Hejun Li; Fuxiao Chen; Yongshun Yang; Zhenghai Yang; Wenjie Dong

Prediction of superplastic properties of lead brass based on BP neural network

Hejun Li, Fuxiao Chen, Yongshun Yang, Zhenghai Yang, Wenjie Dong

Henan University of Science and Technology

Research output: Contribution to journal › Article › peer-review

Abstract

The predicting model for relationship between elongation and deformation parameters of superplastic lead brass has been established based on standard feedforward BP neural network. The elongation of the superplastic lead brass can be effectively predicted, such as maximum error lower than 4.81%, by training the established model based on experimental data, realizing the non-linear mapping between different deformation parameters and elongation. The predicted values of the elongation is well in agreement with experimental results, which provides a reference to theory and experiment of superplastic forming parameters of lead brass bearing cage.

Original language	English
Pages (from-to)	430-432
Number of pages	3
Journal	Tezhong Zhuzao Ji Youse Hejin/Special Casting and Nonferrous Alloys
Volume	27
Issue number	6
State	Published - Jun 2007
Externally published	Yes

Keywords

Bp neural network
Elongation
Lead brass
Prediction model
Superplastic

Cite this

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title = "Prediction of superplastic properties of lead brass based on BP neural network",

abstract = "The predicting model for relationship between elongation and deformation parameters of superplastic lead brass has been established based on standard feedforward BP neural network. The elongation of the superplastic lead brass can be effectively predicted, such as maximum error lower than 4.81%, by training the established model based on experimental data, realizing the non-linear mapping between different deformation parameters and elongation. The predicted values of the elongation is well in agreement with experimental results, which provides a reference to theory and experiment of superplastic forming parameters of lead brass bearing cage.",

keywords = "Bp neural network, Elongation, Lead brass, Prediction model, Superplastic",

author = "Hejun Li and Fuxiao Chen and Yongshun Yang and Zhenghai Yang and Wenjie Dong",

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T1 - Prediction of superplastic properties of lead brass based on BP neural network

AU - Li, Hejun

AU - Chen, Fuxiao

AU - Yang, Yongshun

AU - Yang, Zhenghai

AU - Dong, Wenjie

PY - 2007/6

Y1 - 2007/6

N2 - The predicting model for relationship between elongation and deformation parameters of superplastic lead brass has been established based on standard feedforward BP neural network. The elongation of the superplastic lead brass can be effectively predicted, such as maximum error lower than 4.81%, by training the established model based on experimental data, realizing the non-linear mapping between different deformation parameters and elongation. The predicted values of the elongation is well in agreement with experimental results, which provides a reference to theory and experiment of superplastic forming parameters of lead brass bearing cage.

AB - The predicting model for relationship between elongation and deformation parameters of superplastic lead brass has been established based on standard feedforward BP neural network. The elongation of the superplastic lead brass can be effectively predicted, such as maximum error lower than 4.81%, by training the established model based on experimental data, realizing the non-linear mapping between different deformation parameters and elongation. The predicted values of the elongation is well in agreement with experimental results, which provides a reference to theory and experiment of superplastic forming parameters of lead brass bearing cage.

KW - Bp neural network

KW - Elongation

KW - Lead brass

KW - Prediction model

KW - Superplastic

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M3 - 文章

AN - SCOPUS:34447647623

SN - 1001-2249

VL - 27

SP - 430

EP - 432

JO - Tezhong Zhuzao Ji Youse Hejin/Special Casting and Nonferrous Alloys

JF - Tezhong Zhuzao Ji Youse Hejin/Special Casting and Nonferrous Alloys

IS - 6

ER -

Prediction of superplastic properties of lead brass based on BP neural network

Abstract

Keywords

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