A Novel Multiple RBF-NN Model for Rolling Force Prediction Based on Anti-Aliasing Wavelet Analysis

Zhi Ming Chen; Jian Zhong Cao; Jin Qiu Huang

doi:10.4028/www.scientific.net/AMR.97-101.2909

Paper Titles

Finite Element Analysis of Pressure Coiled Forming Process to Taper Weld Pipe
p.2890

Effect of Process Routing on Machining Deformation for Multi-Frame Double Sided Monolithic Components
p.2894

Determination of Expanding Pressure of Hydraulically Expanded Tube-to-Tubesheet Joint
p.2898

Three-Phase Power Factor Correction Converter Based on One-Cycle Control in Aircraft Electric Power System
p.2903

A Novel Multiple RBF-NN Model for Rolling Force Prediction Based on Anti-Aliasing Wavelet Analysis
p.2909

The Stiffness Analysis and Modeling Simulation of Ball Screw Feed System
p.2914

Analysis of the Performance for a Group-Annulus Type Oil-Fired Boiler
p.2921

Effect of Diesel Nozzle Geometry on Internal Cavitating Flow
p.2925

A Novel Boundary Extraction Algorithm on Triangular Meshes of STL Model
p.2929

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 97-101A Novel Multiple RBF-NN Model for Rolling Force...

A Novel Multiple RBF-NN Model for Rolling Force Prediction Based on Anti-Aliasing Wavelet Analysis

Abstract:

Aiming at the problem of rolling force prediction, an anti-aliasing wavelet method utilizing FFT and IFFT is first proposed to decompose the rolling force signal and reconstruct it as a serial of sub-components. Then several RBF networks, each with different input and output parameters, are established for the modeling of each sub-component, their output values are added up as the rolling force value. Simulation results show that this proposed model can reduce the system dimension, and improve the learning ability of the network. The error rate of rolling force prediction is reduced from 10% by BP-NN model to 4% by the proposed model.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 97-101)

Pages:

2909-2913

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.97-101.2909

Citation:

Cite this paper

Online since:

March 2010

Authors:

Zhi Ming Chen, Jian Zhong Cao, Jin Qiu Huang

Keywords:

Hot Strip, RBF-NN, Rolling Force, Wavelet Analysis

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] J. S. Son, D M Lee, I S Kim, et al: J Mater Process Tech., Vol. 164-165 (2005), p.1612.

Google Scholar

[2] C. Y. Jia, X. Y. Shan and Z P Niu: J Iron Steel Res Int, Vol 15 (2008), p.23.

Google Scholar

[3] F. Q. Zhou, J. G. Cao, J. Zhang, et al: J. Cent. South Univ. (Sci. and Tech. ), Vol. 37(2006), p.1155. (in Chinese).

Google Scholar

[4] X. L. Hu, Z. D. Wang, J. M. Gan, et al: J Northeast Univ. (Nat. Sci. ), Vol. 23(2002), p.1089. (in Chinese).

Google Scholar

[5] X. M. Wang, G. D. Wang and X. H. Liu: Iron and Steel, Vol. 34(1999), p.37. (in Chinese).

Google Scholar

[6] Y. Li, J. Wang, X. L. Hu: Iron and Steel, Vol. 42(2007), p.39. (in Chinese).

Google Scholar

[7] J. G. and Yang, S. T. Park: Mechanical Systems and Signal Processing, Vol. 17(2003), p.945.

Google Scholar

[8] S. G. Mallat, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 11(1989), p.674.

Google Scholar