Wen Qiye
+
Doctor of Engineering
With Certificate of Graduation for Doctorate Study
Personal Information
Gender:Male
Date of Employment:2005-04-01
E-Mail:
Other Contact Information
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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]Univ Elect Sci & Technol China, State Key Lab Elect Thin Films & Integrated Devic, Chengdu 610054, Peoples R China;[2]Shenzhen Univ, Normal Coll, Shenzhen 518060, Guangdong, Peoples R China
Journal:JOURNAL OF CERAMIC PROCESSING RESEARCH
Key Words:artificial neural network; material data analysis; virtual sample technology; slag glass-ceramics
Abstract:Artificial neural network has becoming a mainstream technology in the domain of complex materials data analysis. Based on a slag glass-ceramic system we brought forward a virtual sample technology to increase the training samples by fluctuating the content of main compositions in a proper small amplitude. Simulation results proved that a good virtual sample set can not only improve the network＇s prediction ability considerably, but can also suppress the "overtraining" phenomenon. Therefore a virtual sample improved neural network model can learn the relationship from a small size experimental data set and give an accurate and stable prediction for the test samples. This is more helpful to the material data analysis and can facilitate the design and development for new materials.
Document Type:Article
Volume:9
Issue:4
Page Number:393-397
ISSN No.:1229-9162
Translation or Not:no
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