Home ›
Entities
› academia
› Principal component analysis (PCA) based sparrow search algorithm (SSA) for optimal learning vector quantized (LVQ) neural network for mechanical fault diagnosis of high voltage circuit breakers
Principal component analysis (PCA) based sparrow search algorithm (SSA) for optimal learning vector quantized (LVQ) neural network for mechanical fault diagnosis of high voltage circuit breakers
Research article (Energy Reports, 2022) · cited 22× · AI/ML
Principal component analysis (PCA) based sparrow search algorithm (SSA) for optimal learning vector quantized (LVQ) neural network for mechanical fault diagnosis of high voltage circuit breakers
Summary
Principal component analysis (PCA) based sparrow search algorithm (SSA) for optimal learning vector quantized (LVQ) neural network for mechanical fault diagnosis of high voltage circuit breakers is a scholarly article[1].
Key Facts
Principal component analysis (PCA) based sparrow search algorithm (SSA) for optimal learning vector quantized (LVQ) neural network for mechanical fault diagnosis of high voltage circuit breakers'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). Principal component analysis (PCA) based sparrow search algorithm (SSA) for optimal learning vector quantized (LVQ) neural network for mechanical fault diagnosis of high voltage circuit breakers. Retrieved May 24, 2026, from https://4ort.xyz/entity/principal-component-analysis-pca-based-sparrow-search-algorithm-ssa-for-optimal-learning-vector-quantized-lvq-neural-net
MLA“Principal component analysis (PCA) based sparrow search algorithm (SSA) for optimal learning vector quantized (LVQ) neural network for mechanical fault diagnosis of high voltage circuit breakers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/principal-component-analysis-pca-based-sparrow-search-algorithm-ssa-for-optimal-learning-vector-quantized-lvq-neural-net.
BibTeX@misc{4ortxyz_principal-component-analysis-pca-based-sparrow-search-algorithm-ssa-for-optimal-learning-vector-quantized-lvq-neural-net_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Principal component analysis (PCA) based sparrow search algorithm (SSA) for optimal learning vector quantized (LVQ) neural network for mechanical fault diagnosis of high voltage circuit breakers}}, year = {2026}, url = {https://4ort.xyz/entity/principal-component-analysis-pca-based-sparrow-search-algorithm-ssa-for-optimal-learning-vector-quantized-lvq-neural-net}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Principal component analysis (PCA) based sparrow search algorithm (SSA) for optimal learning vector quantized (LVQ) neural network for mechanical fault diagnosis of high voltage circuit breakers — https://4ort.xyz/entity/principal-component-analysis-pca-based-sparrow-search-algorithm-ssa-for-optimal-learning-vector-quantized-lvq-neural-net (retrieved 2026-05-24)