The Research of Energy Analysis Based on Intelligent Algorithm in Ferroalloy Enterprise

Dong Qiu; Ying Ying Fu; Xiao Bo Wang

doi:10.4028/www.scientific.net/AMM.152-154.171

Paper Titles

Tensile Behavior of Rolled and Annealed Copper Thin Foils
p.151

Interface Microstructure and Mechanical Properties of SiCp/2014Al Aluminum Matrix Composite Vacuum Brazing Joint
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Theoretical Research on Microwave Assisted Magnetic Moment Reversal in Magnetic Recording Media
p.162

Design of ZrO₂/Ti Functionally Graded Thermal Barreir Coatings Based on a Nonlinear Micromechanical Approarch
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The Research of Energy Analysis Based on Intelligent Algorithm in Ferroalloy Enterprise
p.171

Hydro Thermo-Baric Processing and Properties of Nano Silica from Rice Husk
p.177

Study on Bonding Properties of Copper and Aluminum in Nano Scale Using Molecular Dynamics Simulation
p.183

Investigation on the Freeze Casting Porous Al₂O₃ Ceramic Bodies Infiltrated with Nb-Ti-Al-Cr Alloy by Pressureless Infiltration
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Experiment Research on Activated Cement
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 152-154The Research of Energy Analysis Based on...

The Research of Energy Analysis Based on Intelligent Algorithm in Ferroalloy Enterprise

Abstract:

An intelligent algorithm of energy analysis was put forward based on statistical data of Sinosteel Jilin ferroalloy Co., Ltd. Momentum BP algorithm of variable learning rate which used widely was adopt so as to complete energy consumption scientific analysis and overcome efficacious the weakness that standard BP calculation model convergence slowly and easy to make network into a local minimum. The energy analysis model of ferroalloy enterprise was present and the Pareto order was proposed though quantitative analysis of main factors that influence energy consumption. It was helpful to make energy policy and to promote energy saving as theoretical basis.

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Periodical:

Applied Mechanics and Materials (Volumes 152-154)

Pages:

171-176

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.152-154.171

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Online since:

January 2012

Authors:

Dong Qiu, Ying Ying Fu, Xiao Bo Wang

Keywords:

Intelligent Algorithm, Momentum, Quantitative Analysis, Variable Learning Rate

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References

[1] M. Thong. Top management support external expertise and information systems implementation in small business, Information Systems Research [J], 1996, (6), P2-7.

DOI: 10.1287/isre.7.2.248

Google Scholar

[2] Kang Shi-min. Practice for controlling and optimizing ferroalloy furnace production with the computer. Ferro-alloys [J], 2001, (1), P43-46.

Google Scholar

[3] V Dhole, D Seillier, K Garza. Utility System Management and Operational Optimization, 24th National Industrial Energy Technology Conference Proceedings, (2002).

Google Scholar

[4] V Nikulshim. Method of thermo-economical optimization of Energy intensive systems with linear structure on graphs. International Journal of Energy Research，2000, (24): P615-623.

Google Scholar