Stabilization Analysis of Side-slope Based on Self-organizing Feature Map Neural Net

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Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1

Jinan, China

October 16-October 18

ISBN: 0-7695-2528-8

	ASCII Text	x
	Ying Li, Zhihong Qie, Xinmiao Wu, Zhiyu Zhang, "Stabilization Analysis of Side-slope Based on Self-organizing Feature Map Neural Net," Intelligent Systems Design and Applications, International Conference on, vol. 1, pp. 37-41, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006.

	BibTex	x
	@article{ 10.1109/ISDA.2006.249, author = {Ying Li and Zhihong Qie and Xinmiao Wu and Zhiyu Zhang}, title = {Stabilization Analysis of Side-slope Based on Self-organizing Feature Map Neural Net}, journal ={Intelligent Systems Design and Applications, International Conference on}, volume = {1}, year = {2006}, isbn = {0-7695-2528-8}, pages = {37-41}, doi = {http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.249}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Intelligent Systems Design and Applications, International Conference on TI - Stabilization Analysis of Side-slope Based on Self-organizing Feature Map Neural Net SN - 0-7695-2528-8 SP37 EP41 A1 - Ying Li, A1 - Zhihong Qie, A1 - Xinmiao Wu, A1 - Zhiyu Zhang, PY - 2006 KW - Self-organizing Feature Map (SOFM); Side-slope; Stabilization; Evaluation VL - 1 JA - Intelligent Systems Design and Applications, International Conference on ER -

Ying Li, Agriculture University of Hebei

Zhihong Qie, Agriculture University of Hebei

Xinmiao Wu, Tianjin University

Zhiyu Zhang, Agriculture University of Hebei

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.249

Self-organizing Feature Map (SOFM) was applied to analyze the stabilization of side-slope. A SOFM network model, which was trained and tested by the engineering examples, was established. The research shows that the SOFM presents excellent network performance, high prediction precision and is easy to run. As a result, the method is an effective way to evaluate the state of side-slope.

Index Terms:

Self-organizing Feature Map (SOFM); Side-slope; Stabilization; Evaluation

Citation:

Ying Li, Zhihong Qie, Xinmiao Wu, Zhiyu Zhang, "Stabilization Analysis of Side-slope Based on Self-organizing Feature Map Neural Net," isda, vol. 1, pp.37-41, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 1, 2006

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