Projection Pursuit Model Selection in the Shaft Construction under Complex Conditions Application

Sheng Li Ai; Li Li He; Mu Jie Chen

doi:10.4028/www.scientific.net/AMR.485.88

Paper Titles

Photocatalytic Activity of Mixture of TiO₂ and HZSM-5 Treated with NH₄Cl
p.72

Preparation and Catalytic Performance of Co-Mo/V₂O₅ Composite Catalyst for Selective Oxidation of Cyclohexane
p.76

Preparation of TiO₂ and HZSM-5 Mixture and Methyl Orange Degradation Activity
p.80

Preparation of Anion Exchange Membranes Base on Fluoro-Polyacrylate for Alkaline Fuel Cells
p.84

Projection Pursuit Model Selection in the Shaft Construction under Complex Conditions Application
p.88

FA-Based Optimal Strategy of Train’s Energy Saving with Energy Materials
p.93

Study on the Rational Sampling Numbers of Soil Moisture Monitoring for Cotton
p.97

Anaerobic Fermentation of Cow Dung and Slurry from Hydrogen Fermentation Production of Sucrose
p.101

Research and Evaluation on the Planning and Sanding Properties of Magnoliaceae glanca Blume Plantation Wood
p.105

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 485Projection Pursuit Model Selection in the Shaft...

Projection Pursuit Model Selection in the Shaft Construction under Complex Conditions Application

Abstract:

To overcome the shortcomings of the selection of shaft construction under complex conditions, a selection model for the construction plan based on projection pursuit (PP) was presented. The genetic algorithm was employed to realize the projection pursuit. And the values of the evaluation index were synthesized into a one-dimension projection value which was used to finish the plans. The genetic algorithm was employed to realize the projection pursuit. And the values of the evaluation index were synthesized into a one-dimension projection value which was used to finish the plans. Engineering practice shows that the method can realize the assessment simply, objectively and feasibly. This work has significance for the selection of shaft construction under complex conditions.

You might also be interested in these eBooks

Advanced Research on Material Engineering and its Application

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 485)

Pages:

88-92

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.485.88

Citation:

Cite this paper

Online since:

February 2012

Authors:

Sheng Li Ai, Li Li He, Mu Jie Chen

Keywords:

Complex Conditions, Genetic Algorithm (GA), Optimization, Projection Pursuit, Shaft Construction

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Huang Defa. Coal mine shaft design and construction technology of Henan [M]. Coal industry press, 2008.

Google Scholar

[2] Yang Huaimin. Decision methods of shaft construction under complex conditions [J]. Mining Technology, 2006, (2): 113-114.

Google Scholar

[3] Friedman J H, Turkey JW A. Projection pursuit algorithm for exploratory data analysis [J]. IEEE Trans on Computer, 1974, 23(9): 881-890.

DOI: 10.1109/t-c.1974.224051

Google Scholar

[4] Webb-Robertson Bobbie-Jo M, Jam a Kristin H, D Harvey Scott. An improved optimization algorithm and a Bays' factor termination criterion for sequential projection pursuit [J]. Chemo metrics and Intelligent Laboratory Systems, 2005, 77(1/2): 149-160.

DOI: 10.1016/j.chemolab.2004.09.014

Google Scholar

[5] Vasil L, Stefan T. Multivariate statistical approaches as applied to environmental physics studies [J]. Central European Journal of Physics, 2006, 4(2): 277-298.

Google Scholar

[6] Li Yancang, Zhou Shujing. Comprehensive assessment of marine ecological indexes based on improved projection pursuit method [J]. Acta Ecologica Sinica, 2009, 29(10):5736-5740.

Google Scholar

[7] Wang Mingwu, Jin Juliang, Li Li.Projection pursuit model for evaluation of dangerous degree of water inrush from seam floor [J].Journal of China Coal Society, 2002, 27(5):507-510.

Google Scholar

[8] Li Minqiang, Kou Jisong. Basic principle and application of genetic algorithm [M].Science press, 2004.

Google Scholar

[9] Chen Qiulian, Wang Chengdong. Optimization of Genetic Algorithm Toolbox Based on Matlab [J]. Modern Electronics Technique, 2007, 2:124-129.

Google Scholar