An RBF neural network approach to geometric error compensation with displacement measurements only

Research article (Neural Computing and Applications, 2016) · cited 17× · AI/ML
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An RBF neural network approach to geometric error compensation with displacement measurements only

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An RBF neural network approach to geometric error compensation with displacement measurements only is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An RBF neural network approach to geometric error compensation with displacement measurements only. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-rbf-neural-network-approach-to-geometric-error-compensation-with-displacement-measurements-only
MLA “An RBF neural network approach to geometric error compensation with displacement measurements only.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-rbf-neural-network-approach-to-geometric-error-compensation-with-displacement-measurements-only.
BibTeX @misc{4ortxyz_an-rbf-neural-network-approach-to-geometric-error-compensation-with-displacement-measurements-only_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An RBF neural network approach to geometric error compensation with displacement measurements only}}, year = {2026}, url = {https://4ort.xyz/entity/an-rbf-neural-network-approach-to-geometric-error-compensation-with-displacement-measurements-only}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An RBF neural network approach to geometric error compensation with displacement measurements only — https://4ort.xyz/entity/an-rbf-neural-network-approach-to-geometric-error-compensation-with-displacement-measurements-only (retrieved 2026-05-24)

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