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Interface depth modelling of gravity data and altitude variations: a Bayesian neural network approach

Research article (Neural Computing and Applications, 2019) · cited 11× · AI/ML
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Summary

Interface depth modelling of gravity data and altitude variations: a Bayesian neural network approach is a scholarly article[1].

Key Facts

  • Interface depth modelling of gravity data and altitude variations: a Bayesian neural network approach's instance of is recorded as scholarly article[2].

References

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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). Interface depth modelling of gravity data and altitude variations: a Bayesian neural network approach. Retrieved October 18, 2026, from https://4ort.xyz/entity/interface-depth-modelling-of-gravity-data-and-altitude-variations-a-bayesian-neural-network-approach
MLA “Interface depth modelling of gravity data and altitude variations: a Bayesian neural network approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/interface-depth-modelling-of-gravity-data-and-altitude-variations-a-bayesian-neural-network-approach.
BibTeX @misc{4ortxyz_interface-depth-modelling-of-gravity-data-and-altitude-variations-a-bayesian-neural-network-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interface depth modelling of gravity data and altitude variations: a Bayesian neural network approach}}, year = {2026}, url = {https://4ort.xyz/entity/interface-depth-modelling-of-gravity-data-and-altitude-variations-a-bayesian-neural-network-approach}, note = {Accessed: 2026-10-18}}
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