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). PM2.5 concentration prediction based on WD-SA-LSTM-BP model: a case study of Nanjing city. Retrieved May 24, 2026, from https://4ort.xyz/entity/pm2-5-concentration-prediction-based-on-wd-sa-lstm-bp-model-a-case-study-of-nanjing-city
MLA“PM2.5 concentration prediction based on WD-SA-LSTM-BP model: a case study of Nanjing city.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pm2-5-concentration-prediction-based-on-wd-sa-lstm-bp-model-a-case-study-of-nanjing-city.
BibTeX@misc{4ortxyz_pm2-5-concentration-prediction-based-on-wd-sa-lstm-bp-model-a-case-study-of-nanjing-city_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PM2.5 concentration prediction based on WD-SA-LSTM-BP model: a case study of Nanjing city}}, year = {2026}, url = {https://4ort.xyz/entity/pm2-5-concentration-prediction-based-on-wd-sa-lstm-bp-model-a-case-study-of-nanjing-city}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PM2.5 concentration prediction based on WD-SA-LSTM-BP model: a case study of Nanjing city — https://4ort.xyz/entity/pm2-5-concentration-prediction-based-on-wd-sa-lstm-bp-model-a-case-study-of-nanjing-city (retrieved 2026-05-24)