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GWO 优化 CNN 的短电弧铣削电极损耗状态监测模型.

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Title: GWO 优化 CNN 的短电弧铣削电极损耗状态监测模型. (Chinese)
Authors: 牛巧茹1, 2650561004@qq.com, 周建平1, linkzhou@163.com, 许燕1, 宋洁1, 范俊伟1, 连国禹1
Source: Machine Tool & Hydraulics; 2026, Vol. 54 Issue 7, p119-124, 6p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194736939
AccessLevel: 2
PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Machine+Tool+%26+Hydraulics%22">Machine Tool & Hydraulics</searchLink>; 2026, Vol. 54 Issue 7, p119-124, 6p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194736939
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    Identifiers:
      – Type: doi
        Value: 10.3969/j.issn.1001-3881.2026.07.017
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      – Code: chi
        Text: Chinese
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        PageCount: 6
        StartPage: 119
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      – TitleFull: GWO 优化 CNN 的短电弧铣削电极损耗状态监测模型.
        Type: main
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          Name:
            NameFull: 牛巧茹
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            NameFull: 周建平
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            NameFull: 许燕
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            NameFull: 宋洁
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            NameFull: 范俊伟
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            NameFull: 连国禹
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            – D: 01
              M: 04
              Text: 2026
              Type: published
              Y: 2026
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              Value: 54
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              Value: 7
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            – TitleFull: Machine Tool & Hydraulics
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