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Empirical assessment of carbon emissions in Guangdong Province within the framework of carbon peaking and carbon neutrality: a lasso-TPE-BP neural network approach
Research article (Environmental Science and Pollution Research, 2023) · cited 19× · AI/ML
Empirical assessment of carbon emissions in Guangdong Province within the framework of carbon peaking and carbon neutrality: a lasso-TPE-BP neural network approach
Summary
Empirical assessment of carbon emissions in Guangdong Province within the framework of carbon peaking and carbon neutrality: a lasso-TPE-BP neural network approach is a scholarly article[1].
Key Facts
Empirical assessment of carbon emissions in Guangdong Province within the framework of carbon peaking and carbon neutrality: a lasso-TPE-BP neural network approach's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Empirical assessment of carbon emissions in Guangdong Province within the framework of carbon peaking and carbon neutrality: a lasso-TPE-BP neural network approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/empirical-assessment-of-carbon-emissions-in-guangdong-province-within-the-framework-of-carbon-peaking-and-carbon-neutral
MLA“Empirical assessment of carbon emissions in Guangdong Province within the framework of carbon peaking and carbon neutrality: a lasso-TPE-BP neural network approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/empirical-assessment-of-carbon-emissions-in-guangdong-province-within-the-framework-of-carbon-peaking-and-carbon-neutral.
BibTeX@misc{4ortxyz_empirical-assessment-of-carbon-emissions-in-guangdong-province-within-the-framework-of-carbon-peaking-and-carbon-neutral_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Empirical assessment of carbon emissions in Guangdong Province within the framework of carbon peaking and carbon neutrality: a lasso-TPE-BP neural network approach}}, year = {2026}, url = {https://4ort.xyz/entity/empirical-assessment-of-carbon-emissions-in-guangdong-province-within-the-framework-of-carbon-peaking-and-carbon-neutral}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Empirical assessment of carbon emissions in Guangdong Province within the framework of carbon peaking and carbon neutrality: a lasso-TPE-BP neural network approach — https://4ort.xyz/entity/empirical-assessment-of-carbon-emissions-in-guangdong-province-within-the-framework-of-carbon-peaking-and-carbon-neutral (retrieved 2026-05-24)
