Home ›
Entities
› academia
› Multi-criteria optimization of common rail direct injection engine parameters with isoamyl alcohol blends using Taguchi- Grey relational analysis (GRA) and Artificial neural network (ANN)
Multi-criteria optimization of common rail direct injection engine parameters with isoamyl alcohol blends using Taguchi- Grey relational analysis (GRA) and Artificial neural network (ANN)
Research article (Thermal Science and Engineering Progress, 2025) · cited 11× · AI/ML
Multi-criteria optimization of common rail direct injection engine parameters with isoamyl alcohol blends using Taguchi- Grey relational analysis (GRA) and Artificial neural network (ANN)
Summary
Multi-criteria optimization of common rail direct injection engine parameters with isoamyl alcohol blends using Taguchi- Grey relational analysis (GRA) and Artificial neural network (ANN) is a scholarly article[1].
Key Facts
Multi-criteria optimization of common rail direct injection engine parameters with isoamyl alcohol blends using Taguchi- Grey relational analysis (GRA) and Artificial neural network (ANN)'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-criteria optimization of common rail direct injection engine parameters with isoamyl alcohol blends using Taguchi- Grey relational analysis (GRA) and Artificial neural network (ANN). Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-criteria-optimization-of-common-rail-direct-injection-engine-parameters-with-isoamyl-alcohol-blends-using-taguchi-
MLA“Multi-criteria optimization of common rail direct injection engine parameters with isoamyl alcohol blends using Taguchi- Grey relational analysis (GRA) and Artificial neural network (ANN).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-criteria-optimization-of-common-rail-direct-injection-engine-parameters-with-isoamyl-alcohol-blends-using-taguchi-.
BibTeX@misc{4ortxyz_multi-criteria-optimization-of-common-rail-direct-injection-engine-parameters-with-isoamyl-alcohol-blends-using-taguchi-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-criteria optimization of common rail direct injection engine parameters with isoamyl alcohol blends using Taguchi- Grey relational analysis (GRA) and Artificial neural network (ANN)}}, year = {2026}, url = {https://4ort.xyz/entity/multi-criteria-optimization-of-common-rail-direct-injection-engine-parameters-with-isoamyl-alcohol-blends-using-taguchi-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-criteria optimization of common rail direct injection engine parameters with isoamyl alcohol blends using Taguchi- Grey relational analysis (GRA) and Artificial neural network (ANN) — https://4ort.xyz/entity/multi-criteria-optimization-of-common-rail-direct-injection-engine-parameters-with-isoamyl-alcohol-blends-using-taguchi- (retrieved 2026-05-24)
