Home ›
Entities
› academia
› An optimum drill bit selection technique using artificial neural networks and genetic algorithms to increase the rate of penetration
An optimum drill bit selection technique using artificial neural networks and genetic algorithms to increase the rate of penetration
Research article (DOAJ (DOAJ: Directory of Open Access Journals), 2018) · cited 22× · AI/ML
An optimum drill bit selection technique using artificial neural networks and genetic algorithms to increase the rate of penetration
Summary
An optimum drill bit selection technique using artificial neural networks and genetic algorithms to increase the rate of penetration is a scholarly article[1].
Key Facts
An optimum drill bit selection technique using artificial neural networks and genetic algorithms to increase the rate of penetration's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). An optimum drill bit selection technique using artificial neural networks and genetic algorithms to increase the rate of penetration. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-optimum-drill-bit-selection-technique-using-artificial-neural-networks-and-genetic-algorithms-to-increase-the-rate-of
MLA“An optimum drill bit selection technique using artificial neural networks and genetic algorithms to increase the rate of penetration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-optimum-drill-bit-selection-technique-using-artificial-neural-networks-and-genetic-algorithms-to-increase-the-rate-of.
BibTeX@misc{4ortxyz_an-optimum-drill-bit-selection-technique-using-artificial-neural-networks-and-genetic-algorithms-to-increase-the-rate-of_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An optimum drill bit selection technique using artificial neural networks and genetic algorithms to increase the rate of penetration}}, year = {2026}, url = {https://4ort.xyz/entity/an-optimum-drill-bit-selection-technique-using-artificial-neural-networks-and-genetic-algorithms-to-increase-the-rate-of}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An optimum drill bit selection technique using artificial neural networks and genetic algorithms to increase the rate of penetration — https://4ort.xyz/entity/an-optimum-drill-bit-selection-technique-using-artificial-neural-networks-and-genetic-algorithms-to-increase-the-rate-of (retrieved 2026-05-24)
