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An integrated approach of artificial neural networks and polynomial chaos expansion for prediction and analysis of yield and environmental impact of oil shale retorting process under uncertainty
An integrated approach of artificial neural networks and polynomial chaos expansion for prediction and analysis of yield and environmental impact of oil shale retorting process under uncertainty
Summary
An integrated approach of artificial neural networks and polynomial chaos expansion for prediction and analysis of yield and environmental impact of oil shale retorting process under uncertainty is a scholarly article[1].
Key Facts
An integrated approach of artificial neural networks and polynomial chaos expansion for prediction and analysis of yield and environmental impact of oil shale retorting process under uncertainty's instance of is recorded as scholarly article[2].
References
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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 integrated approach of artificial neural networks and polynomial chaos expansion for prediction and analysis of yield and environmental impact of oil shale retorting process under uncertainty. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-integrated-approach-of-artificial-neural-networks-and-polynomial-chaos-expansion-for-prediction-and-analysis-of-yield
MLA“An integrated approach of artificial neural networks and polynomial chaos expansion for prediction and analysis of yield and environmental impact of oil shale retorting process under uncertainty.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-integrated-approach-of-artificial-neural-networks-and-polynomial-chaos-expansion-for-prediction-and-analysis-of-yield.
BibTeX@misc{4ortxyz_an-integrated-approach-of-artificial-neural-networks-and-polynomial-chaos-expansion-for-prediction-and-analysis-of-yield_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An integrated approach of artificial neural networks and polynomial chaos expansion for prediction and analysis of yield and environmental impact of oil shale retorting process under uncertainty}}, year = {2026}, url = {https://4ort.xyz/entity/an-integrated-approach-of-artificial-neural-networks-and-polynomial-chaos-expansion-for-prediction-and-analysis-of-yield}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An integrated approach of artificial neural networks and polynomial chaos expansion for prediction and analysis of yield and environmental impact of oil shale retorting process under uncertainty — https://4ort.xyz/entity/an-integrated-approach-of-artificial-neural-networks-and-polynomial-chaos-expansion-for-prediction-and-analysis-of-yield (retrieved 2026-05-24)
