Wen Qiye

Doctor of Engineering

With Certificate of Graduation for Doctorate Study

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Gender:Male
Date of Employment:2005-04-01
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Home > Scientific Research > Paper Publications

Model of artificial neural network for complex data analysis in slag glass-ceramic

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Affiliation of Author(s):[1]Shenzhen Univ, Normal Coll, Dept Biol & Chem, Shenzhen 518060, Peoples R China;[2]Shenzhen Univ, Dept Sci & Technol, Shenzhen, Peoples R China;[3]Xian Univ Elect Sci & Technol, Coll Elect Engn, Xian, Peoples R China;[4]Univ Elect Sci & Technol, Coll Microelect & Solid Elect, Chengdu, Peoples R China
Journal:ZEITSCHRIFT FUR METALLKUNDE
Key Words:Artificial Neural Network (ANN); complex data analysis; glass-ceramic
Abstract:An artificial neural network was applied to slag glass-ceramic complex data analysis. A three-layer feedforward network was built with a new robust learning algorithm based on a concept of entire error modifying. These studies indicate that the network has an excellent learning ability when its topology is M - (2M + 1) - 1 and when an appropriate study error was chosen. Research shows that this slag glass-ceramic neural network is robust, accurate and stable in complex data analysis, and can disclose the relationship of elemental compositions, processing parameters and material properties of slag glass-ceramic effectively.
Document Type:Article
Volume:95
Issue:2
Page Number:97-101
ISSN No.:0044-3093
Translation or Not:no