KPCA Feature Extraction Based on Bacterial Foraging Algorithm

Xue Jun Li; Da Lian Yang; Zong Qun  Deng; Ling Li Jiang

doi:10.4028/www.scientific.net/AEF.2-3.200

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HomeAdvanced Engineering ForumAdvanced Engineering Forum Vols. 2-3KPCA Feature Extraction Based on Bacterial...

KPCA Feature Extraction Based on Bacterial Foraging Algorithm

Abstract:

KPCA is a commonly used method for feature extraction, for the problems of kernel function and its parameters have a great influence on performance of KPCA feature extraction but the optimal parameters are difficult to select. This paper applied the bacterial foraging algorithm on KPCA feature extraction and the method of KPCA feature extraction based on bacterial foraging algorithm was proposed. The experiment of bearing feature extraction shows that the method which proposed in this paper is effective.

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Periodical:

Advanced Engineering Forum (Volumes 2-3)

Pages:

200-204

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.2-3.200

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Cite this paper

Online since:

December 2011

Authors:

Xue Jun Li, Da Lian Yang, Zong Qun Deng, Ling Li Jiang

Keywords:

Bacterial Foraging Algorithm (BFA), Feature Extraction, Kernel Principal Component Analysis (KPCA), Parameter Optimization

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References

[1] G P NASON. Wavelet shrinkage using cross-validation, Journal of the Royal Statistical Society, Series B: Methodologica, 58 (1996) 463-479.

DOI: 10.1111/j.2517-6161.1996.tb02094.x

Google Scholar

[2] Holl and J H. Adaptation in natural and artificial system . Ann Arbor: The University of Michi gan. 197.

Google Scholar

[3] A Colorni, M Dorigo, V Maniezzo, et al. Distributed optimization by ant colonies, Proceedings of European Conference on Artificial Life, Paris, 1991: 134-142.

Google Scholar

[4] F M Zhu, M L Fan. Chaos Particle Swarm Optimization Algorithm for Optimizing the Parame ter of SVM, Computer Simulation, 37(2010) 183-186.

Google Scholar

[5] K.M. Passino. Biomimicry of bacterial foraging for distributed optimization and control, IEEE Control Systems Magazine, 22(2002) 52-67.

DOI: 10.1109/mcs.2002.1004010

Google Scholar

[6] M Tripathy, S Mishra, L L Lai, et al. Transmission loss reduction based on FACTS and bacteria foraging algorithm, 4193(2006)222- 231.

Google Scholar

[7] N Zhang. Study on job-shop scheduling problems based on bacteria foraging optimization algorithm, Jilin: Jilin University, (2007).

Google Scholar

[8] D H Kim, J H Cho. A biologically inspired intelligent PID controller tuning for AVR systems, International Journal of Control, Automation, and Systems, 4(2006) 624- 636.

DOI: 10.1007/s12555-011-0425-7

Google Scholar

[9] D H Kim, J H Cho. Adaptive tuning of PID controller for multivariable system using bacterial foraging based optimization, 3528( 2005) 231-235.

DOI: 10.1007/11495772_36

Google Scholar

[10] Y Chu, B Z Shao, H Mi, Q H Wu. An application of bacterial foraging algorithm in image compression, JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING, 25 (2008) 153- 157.

Google Scholar

[11] X.S. Wang, Y.H. Cheng, M.L. Hao. Estimation of Distribution Algorithm Based on Bacterial Foraging and Its Application in Predictive Control, Acta Electronica Sinica. 38(2010) 333-339.

Google Scholar