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融合多头自注意力与双向LSTM 的工厂化循环水溶氧预测模型研究.

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Title: 融合多头自注意力与双向LSTM 的工厂化循环水溶氧预测模型研究.
Alternate Title: Research on a prediction model for dissolved oxygen in factory-based recirculating water integrating Multi-head Self-Attention and BiLSTM.
Authors: 郑睿谦1,2,3 1393345011@qq.com, 李智军1,2,3, 余瀚坤2,3, 孙淼淼2,3, 喻开熊2,3, 潘澜澜1,2,3 pllan@dlou.edu.cn
Source: Fishery Modernization. Jun2026, Vol. 53 Issue 3, p98-105. 8p.
Database: Academic Search Ultimate
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  Data: Research on a prediction model for dissolved oxygen in factory-based recirculating water integrating Multi-head Self-Attention and BiLSTM.
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  Data: <searchLink fieldCode="JN" term="%22Fishery+Modernization%22">Fishery Modernization</searchLink>. Jun2026, Vol. 53 Issue 3, p98-105. 8p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195007236
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      – Type: doi
        Value: 10.26958/j.cnki.1007-9580.2026.03.010
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      – Code: chi
        Text: Chinese
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        PageCount: 8
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      – TitleFull: 融合多头自注意力与双向LSTM 的工厂化循环水溶氧预测模型研究.
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            NameFull: 郑睿谦
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            NameFull: 李智军
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            NameFull: 余瀚坤
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            NameFull: 孙淼淼
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            NameFull: 喻开熊
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            NameFull: 潘澜澜
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              Text: Jun2026
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              Y: 2026
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