Doctor of Engineering
With Certificate of Graduation for Doctorate Study
Gender:Male
Date of Employment:2005-04-01
E-Mail:2dfae7fbc3b4eee77cbc83e6dc0991c98a03764bcc68440b36c566a8436e2ae8a1583db720d39738c58ecf51abdfc0792241b0c642189c27038028cf0502664fcf2ad60fb7a8e4099e84c7a18122e783ed3307500b5c9fbe19c3e89a1d71dd219103fa75b78e4c54f92297151d3fe6fc58621daf6a763c7e396f0951bd7581e1
Email:c045ee02cf98f3c8badd036e7bb5177b47f43a3c5e8068fdb1fbaf5b1a2b1c379d52673dfd4418a27d6de7464b5824033fcc7853b02961697e9d54402740773f73b957f231b409a9b1301b36a226460ea4a21a697903124a28bd1e0b5beb7fc196c290c4a3c04f9e1afef461deb669e658a79d928965266b30d2529ad49f5d79
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
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