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Design of a Multi-Indicator Evaluation System for Art Students' Learning Outcomes Driven by Neural Networks: Weight Optimization Using the Entropy Method.

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Title: Design of a Multi-Indicator Evaluation System for Art Students' Learning Outcomes Driven by Neural Networks: Weight Optimization Using the Entropy Method.
Authors: Yi, Caixue1 (AUTHOR) cqsxedu2022@126.com
Source: International Journal of High Speed Electronics & Systems. Sep2026, Vol. 35 Issue 4, p1-20. 20p.
Database: Business Source Ultimate
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Header DbId: bsu
DbLabel: Business Source Ultimate
An: 190717014
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Design of a Multi-Indicator Evaluation System for Art Students' Learning Outcomes Driven by Neural Networks: Weight Optimization Using the Entropy Method.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+High+Speed+Electronics+%26+Systems%22">International Journal of High Speed Electronics & Systems</searchLink>. Sep2026, Vol. 35 Issue 4, p1-20. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=190717014
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      – Type: doi
        Value: 10.1142/S0129156425405546
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      – Code: eng
        Text: English
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        PageCount: 20
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      – TitleFull: Design of a Multi-Indicator Evaluation System for Art Students' Learning Outcomes Driven by Neural Networks: Weight Optimization Using the Entropy Method.
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              M: 09
              Text: Sep2026
              Type: published
              Y: 2026
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              Value: 35
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