Building Sound Absorption Performance Model of Porous Glass Based on GRNN
The generalized regression neural network (GRNN) model of sound absorption coefficient of porous glass was built on data from 16 groups gained by experiments, where 12 groups were randomly selected as trained samples and the other 4 groups were as tested ones. This GRNN model which has two parameter...
| Format: | Article |
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| Language: | zho |
| Published: |
The Northwestern Polytechnical University
2019-02-01
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| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/full_html/2019/01/jnwpu2019371p57/jnwpu2019371p57.html |