Home ›
Entities
› academia
› Weighted principal component analysis combined with Taguchi’s signal-to-noise ratio to the multiobjective optimization of dry end milling process: a comparative study
Weighted principal component analysis combined with Taguchi’s signal-to-noise ratio to the multiobjective optimization of dry end milling process: a comparative study
Research article (Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2016) · cited 25× · AI/ML
Weighted principal component analysis combined with Taguchi’s signal-to-noise ratio to the multiobjective optimization of dry end milling process: a comparative study
Summary
Weighted principal component analysis combined with Taguchi’s signal-to-noise ratio to the multiobjective optimization of dry end milling process: a comparative study is a scholarly article[1].
Key Facts
Weighted principal component analysis combined with Taguchi’s signal-to-noise ratio to the multiobjective optimization of dry end milling process: a comparative study'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). Weighted principal component analysis combined with Taguchi’s signal-to-noise ratio to the multiobjective optimization of dry end milling process: a comparative study. Retrieved May 24, 2026, from https://4ort.xyz/entity/weighted-principal-component-analysis-combined-with-taguchis-signal-to-noise-ratio-to-the-multiobjective-optimization-of
MLA“Weighted principal component analysis combined with Taguchi’s signal-to-noise ratio to the multiobjective optimization of dry end milling process: a comparative study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/weighted-principal-component-analysis-combined-with-taguchis-signal-to-noise-ratio-to-the-multiobjective-optimization-of.
BibTeX@misc{4ortxyz_weighted-principal-component-analysis-combined-with-taguchis-signal-to-noise-ratio-to-the-multiobjective-optimization-of_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Weighted principal component analysis combined with Taguchi’s signal-to-noise ratio to the multiobjective optimization of dry end milling process: a comparative study}}, year = {2026}, url = {https://4ort.xyz/entity/weighted-principal-component-analysis-combined-with-taguchis-signal-to-noise-ratio-to-the-multiobjective-optimization-of}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Weighted principal component analysis combined with Taguchi’s signal-to-noise ratio to the multiobjective optimization of dry end milling process: a comparative study — https://4ort.xyz/entity/weighted-principal-component-analysis-combined-with-taguchis-signal-to-noise-ratio-to-the-multiobjective-optimization-of (retrieved 2026-05-24)
