Multi‐objective Deng's grey incidence analysis, orthogonal optimization, and artificial neural network modelling in hot‐maceration‐assisted extraction of African cucumber leaves ( Momordica balsamina )
Summary
Multi‐objective Deng's grey incidence analysis, orthogonal optimization, and artificial neural network modelling in hot‐maceration‐assisted extraction of African cucumber leaves ( Momordica balsamina ) is a scholarly article[1].
Key Facts
Multi‐objective Deng's grey incidence analysis, orthogonal optimization, and artificial neural network modelling in hot‐maceration‐assisted extraction of African cucumber leaves ( Momordica balsamina )'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). Multi‐objective <scp>Deng's</scp> grey incidence analysis, orthogonal optimization, and artificial neural network modelling in hot‐maceration‐assisted extraction of <scp>African</scp> cucumber leaves ( <scp> <i>Momordica balsamina</i> </scp> ). Retrieved May 24, 2026, from https://4ort.xyz/entity/multiobjective-scp-deng-s-scp-grey-incidence-analysis-orthogonal-optimization-and-artificial-neural-network-modelling-in