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Optimisation of manufacturing process parameters using deep neural networks as surrogate models

Research article (Procedia CIRP, 2018) · cited 145× · AI/ML
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Summary

Optimisation of manufacturing process parameters using deep neural networks as surrogate models is a scholarly article[1].

Key Facts

  • Optimisation of manufacturing process parameters using deep neural networks as surrogate models's instance of is recorded as scholarly article[2].

Related Entities

Jürgen Beyerer

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Optimisation of manufacturing process parameters using deep neural networks as surrogate models. Retrieved October 18, 2026, from https://4ort.xyz/entity/optimisation-of-manufacturing-process-parameters-using-deep-neural-networks-as-surrogate-models
MLA “Optimisation of manufacturing process parameters using deep neural networks as surrogate models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/optimisation-of-manufacturing-process-parameters-using-deep-neural-networks-as-surrogate-models.
BibTeX @misc{4ortxyz_optimisation-of-manufacturing-process-parameters-using-deep-neural-networks-as-surrogate-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimisation of manufacturing process parameters using deep neural networks as surrogate models}}, year = {2026}, url = {https://4ort.xyz/entity/optimisation-of-manufacturing-process-parameters-using-deep-neural-networks-as-surrogate-models}, note = {Accessed: 2026-10-18}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimisation of manufacturing process parameters using deep neural networks as surrogate models — https://4ort.xyz/entity/optimisation-of-manufacturing-process-parameters-using-deep-neural-networks-as-surrogate-models (retrieved 2026-10-18)

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