Home › Entities › academia › Towards data-driven modeling for complex contact phenomena via self-optimized artificial neural network methodology

Towards data-driven modeling for complex contact phenomena via self-optimized artificial neural network methodology

Research article (Mechanism and Machine Theory, 2023) · cited 42× · AI/ML
academia openalex:W4316505391
Press Enter · cited answer in seconds

Towards data-driven modeling for complex contact phenomena via self-optimized artificial neural network methodology

Summary

Towards data-driven modeling for complex contact phenomena via self-optimized artificial neural network methodology is a scholarly article[1].

Key Facts

  • Towards data-driven modeling for complex contact phenomena via self-optimized artificial neural network methodology's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Towards data-driven modeling for complex contact phenomena via self-optimized artificial neural network methodology. Retrieved May 24, 2026, from https://4ort.xyz/entity/towards-data-driven-modeling-for-complex-contact-phenomena-via-self-optimized-artificial-neural-network-methodology
MLA “Towards data-driven modeling for complex contact phenomena via self-optimized artificial neural network methodology.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/towards-data-driven-modeling-for-complex-contact-phenomena-via-self-optimized-artificial-neural-network-methodology.
BibTeX @misc{4ortxyz_towards-data-driven-modeling-for-complex-contact-phenomena-via-self-optimized-artificial-neural-network-methodology_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Towards data-driven modeling for complex contact phenomena via self-optimized artificial neural network methodology}}, year = {2026}, url = {https://4ort.xyz/entity/towards-data-driven-modeling-for-complex-contact-phenomena-via-self-optimized-artificial-neural-network-methodology}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Towards data-driven modeling for complex contact phenomena via self-optimized artificial neural network methodology — https://4ort.xyz/entity/towards-data-driven-modeling-for-complex-contact-phenomena-via-self-optimized-artificial-neural-network-methodology (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/towards-data-driven-modeling-for-complex-contact-phenomena-via-self-optimized-artificial-neural-network-methodology · Last refreshed: