Home ›
Entities
› academia
› Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)
Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)
Research article (Industrial Crops and Products, 2018) · cited 113× · AI/ML
Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)
Summary
Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.) is a scholarly article[1].
Key Facts
Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)'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). Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.). Retrieved May 24, 2026, from https://4ort.xyz/entity/artificial-neural-networks-and-multiple-linear-regression-as-potential-methods-for-modeling-seed-yield-of-safflower-cart
MLA“Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/artificial-neural-networks-and-multiple-linear-regression-as-potential-methods-for-modeling-seed-yield-of-safflower-cart.
BibTeX@misc{4ortxyz_artificial-neural-networks-and-multiple-linear-regression-as-potential-methods-for-modeling-seed-yield-of-safflower-cart_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)}}, year = {2026}, url = {https://4ort.xyz/entity/artificial-neural-networks-and-multiple-linear-regression-as-potential-methods-for-modeling-seed-yield-of-safflower-cart}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.) — https://4ort.xyz/entity/artificial-neural-networks-and-multiple-linear-regression-as-potential-methods-for-modeling-seed-yield-of-safflower-cart (retrieved 2026-05-24)