Retention time modeling of short-chain aliphatic acids in aqueous ion-exclusion chromatography systems under several conditions using computational intelligence methods (artificial neural network and adaptive neuro-fuzzy inference system)

Research article (Journal of Liquid Chromatography & Related Technologies, 2018) · cited 14× · AI/ML
Press Enter · cited answer in seconds

Retention time modeling of short-chain aliphatic acids in aqueous ion-exclusion chromatography systems under several conditions using computational intelligence methods (artificial neural network and adaptive neuro-fuzzy inference system)

Summary

Retention time modeling of short-chain aliphatic acids in aqueous ion-exclusion chromatography systems under several conditions using computational intelligence methods (artificial neural network and adaptive neuro-fuzzy inference system) is a scholarly article[1].

Key Facts

  • Retention time modeling of short-chain aliphatic acids in aqueous ion-exclusion chromatography systems under several conditions using computational intelligence methods (artificial neural network and adaptive neuro-fuzzy inference system)'s instance of is recorded as scholarly article[2].

📑 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). Retention time modeling of short-chain aliphatic acids in aqueous ion-exclusion chromatography systems under several conditions using computational intelligence methods (artificial neural network and adaptive neuro-fuzzy inference system). Retrieved May 24, 2026, from https://4ort.xyz/entity/retention-time-modeling-of-short-chain-aliphatic-acids-in-aqueous-ion-exclusion-chromatography-systems-under-several-con
MLA “Retention time modeling of short-chain aliphatic acids in aqueous ion-exclusion chromatography systems under several conditions using computational intelligence methods (artificial neural network and adaptive neuro-fuzzy inference system).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/retention-time-modeling-of-short-chain-aliphatic-acids-in-aqueous-ion-exclusion-chromatography-systems-under-several-con.
BibTeX @misc{4ortxyz_retention-time-modeling-of-short-chain-aliphatic-acids-in-aqueous-ion-exclusion-chromatography-systems-under-several-con_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Retention time modeling of short-chain aliphatic acids in aqueous ion-exclusion chromatography systems under several conditions using computational intelligence methods (artificial neural network and adaptive neuro-fuzzy inference system)}}, year = {2026}, url = {https://4ort.xyz/entity/retention-time-modeling-of-short-chain-aliphatic-acids-in-aqueous-ion-exclusion-chromatography-systems-under-several-con}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Retention time modeling of short-chain aliphatic acids in aqueous ion-exclusion chromatography systems under several conditions using computational intelligence methods (artificial neural network and adaptive neuro-fuzzy inference system) — https://4ort.xyz/entity/retention-time-modeling-of-short-chain-aliphatic-acids-in-aqueous-ion-exclusion-chromatography-systems-under-several-con (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/retention-time-modeling-of-short-chain-aliphatic-acids-in-aqueous-ion-exclusion-chromatography-systems-under-several-con · Last refreshed: