Home ›
Entities
› academia
› An Application of Artificial Neural Network to Evaluate the Influence of Weather Conditions on the Variation of PM2.5-Bound Carbonaceous Compositions and Water-Soluble Ionic Species
An Application of Artificial Neural Network to Evaluate the Influence of Weather Conditions on the Variation of PM2.5-Bound Carbonaceous Compositions and Water-Soluble Ionic Species
Research article (Atmosphere, 2022) · cited 10× · AI/ML
An Application of Artificial Neural Network to Evaluate the Influence of Weather Conditions on the Variation of PM2.5-Bound Carbonaceous Compositions and Water-Soluble Ionic Species
Summary
An Application of Artificial Neural Network to Evaluate the Influence of Weather Conditions on the Variation of PM2.5-Bound Carbonaceous Compositions and Water-Soluble Ionic Species is a scholarly article[1].
Key Facts
An Application of Artificial Neural Network to Evaluate the Influence of Weather Conditions on the Variation of PM2.5-Bound Carbonaceous Compositions and Water-Soluble Ionic Species'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). An Application of Artificial Neural Network to Evaluate the Influence of Weather Conditions on the Variation of PM2.5-Bound Carbonaceous Compositions and Water-Soluble Ionic Species. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-application-of-artificial-neural-network-to-evaluate-the-influence-of-weather-conditions-on-the-variation-of-pm2-5-bo
MLA“An Application of Artificial Neural Network to Evaluate the Influence of Weather Conditions on the Variation of PM2.5-Bound Carbonaceous Compositions and Water-Soluble Ionic Species.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-application-of-artificial-neural-network-to-evaluate-the-influence-of-weather-conditions-on-the-variation-of-pm2-5-bo.
BibTeX@misc{4ortxyz_an-application-of-artificial-neural-network-to-evaluate-the-influence-of-weather-conditions-on-the-variation-of-pm2-5-bo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Application of Artificial Neural Network to Evaluate the Influence of Weather Conditions on the Variation of PM2.5-Bound Carbonaceous Compositions and Water-Soluble Ionic Species}}, year = {2026}, url = {https://4ort.xyz/entity/an-application-of-artificial-neural-network-to-evaluate-the-influence-of-weather-conditions-on-the-variation-of-pm2-5-bo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Application of Artificial Neural Network to Evaluate the Influence of Weather Conditions on the Variation of PM2.5-Bound Carbonaceous Compositions and Water-Soluble Ionic Species — https://4ort.xyz/entity/an-application-of-artificial-neural-network-to-evaluate-the-influence-of-weather-conditions-on-the-variation-of-pm2-5-bo (retrieved 2026-05-24)