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Applying Artificial Intelligence to Predict the Composition of Syngas Using Rice Husks: A Comparison of Artificial Neural Networks and Gradient Boosting Regression
Research article (Energies, 2021) · cited 26× · AI/ML
Applying Artificial Intelligence to Predict the Composition of Syngas Using Rice Husks: A Comparison of Artificial Neural Networks and Gradient Boosting Regression
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Applying Artificial Intelligence to Predict the Composition of Syngas Using Rice Husks: A Comparison of Artificial Neural Networks and Gradient Boosting Regression is a scholarly article[1].
Key Facts
Applying Artificial Intelligence to Predict the Composition of Syngas Using Rice Husks: A Comparison of Artificial Neural Networks and Gradient Boosting Regression's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Applying Artificial Intelligence to Predict the Composition of Syngas Using Rice Husks: A Comparison of Artificial Neural Networks and Gradient Boosting Regression. Retrieved May 24, 2026, from https://4ort.xyz/entity/applying-artificial-intelligence-to-predict-the-composition-of-syngas-using-rice-husks-a-comparison-of-artificial-neural
MLA“Applying Artificial Intelligence to Predict the Composition of Syngas Using Rice Husks: A Comparison of Artificial Neural Networks and Gradient Boosting Regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/applying-artificial-intelligence-to-predict-the-composition-of-syngas-using-rice-husks-a-comparison-of-artificial-neural.
BibTeX@misc{4ortxyz_applying-artificial-intelligence-to-predict-the-composition-of-syngas-using-rice-husks-a-comparison-of-artificial-neural_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Applying Artificial Intelligence to Predict the Composition of Syngas Using Rice Husks: A Comparison of Artificial Neural Networks and Gradient Boosting Regression}}, year = {2026}, url = {https://4ort.xyz/entity/applying-artificial-intelligence-to-predict-the-composition-of-syngas-using-rice-husks-a-comparison-of-artificial-neural}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Applying Artificial Intelligence to Predict the Composition of Syngas Using Rice Husks: A Comparison of Artificial Neural Networks and Gradient Boosting Regression — https://4ort.xyz/entity/applying-artificial-intelligence-to-predict-the-composition-of-syngas-using-rice-husks-a-comparison-of-artificial-neural (retrieved 2026-05-24)
