Comparison of Application on Designing o'-Sialon-BN Composite by Neural Networks and Traditional Pattern Recognition

Zhen Qiang; Li Wenchao

doi:10.13374/j.issn1001-053x.1999.02.049

Volume 21 Issue 2

Aug. 2021

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Article Navigation > Chinese Journal of Engineering > 1999 > 21(2): 171-174

Zhen Qiang, Li Wenchao. Comparison of Application on Designing o'-Sialon-BN Composite by Neural Networks and Traditional Pattern Recognition[J]. Chinese Journal of Engineering, 1999, 21(2): 171-174. doi: 10.13374/j.issn1001-053x.1999.02.049

Citation:

Zhen Qiang, Li Wenchao. Comparison of Application on Designing o'-Sialon-BN Composite by Neural Networks and Traditional Pattern Recognition[J]. Chinese Journal of Engineering, 1999, 21(2): 171-174. doi: 10.13374/j.issn1001-053x.1999.02.049

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Comparison of Application on Designing o'-Sialon-BN Composite by Neural Networks and Traditional Pattern Recognition

doi: 10.13374/j.issn1001-053x.1999.02.049

Applied Science School, UST Beijing, Beijing 10083, China

Received Date: 1998-01-16
Available Online: 2021-08-27

Abstract

Abstract

The Principle and the characteristic of the Neural NetWorks and the Traditional Pattern Recognition are introduced and compared. A forecast module for phases and performances of o'-Sialon-BN composite has been made with acquired experiment data by modified Neural Networks.Then the technical condition for synthesizing o'-Sialon-BN composite has been investigated.
- neural networks,
- pattern recognition,
- o'-Sialon-BN,
- material designing