Efficient low-carbon manufacturing for CFRP composite machining based on deep networks
Year of publication: |
2024
|
---|---|
Authors: | Shunhu, Huang ; Ma, Feng ; Gong, Qingshan ; Zhang, Hua |
Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 62.2024, 17, p. 6090-6101
|
Subject: | CNN-LSTM | Efficient low-carbon manufacturing | green manufacturing | machine learning | multi-objective optimisation modelling | Künstliche Intelligenz | Artificial intelligence | Treibhausgas-Emissionen | Greenhouse gas emissions | Industrie | Manufacturing industries | Mathematische Optimierung | Mathematical programming | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | Produktionssteuerung | Production control | Algorithmus | Algorithm | Technische Effizienz | Technical efficiency | Data-Envelopment-Analyse | Data envelopment analysis |
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