Prediction of exhaust emission in transient conditions of a diesel engine fueled with animal fat using Artificial Neural Network and Symbolic Regression
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DOI: 10.1016/j.energy.2018.02.080
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- Wojcieszyk, Michał & Kroyan, Yuri & Kaario, Ossi & Larmi, Martti, 2023. "Prediction of heavy-duty engine performance for renewable fuels based on fuel property characteristics," Energy, Elsevier, vol. 285(C).
- Haruki Tajima & Takuya Tomidokoro & Takeshi Yokomori, 2022. "Deep Learning for Knock Occurrence Prediction in SI Engines," Energies, MDPI, vol. 15(24), pages 1-14, December.
- Liang, Xiao & Zhang, Tianyu & Xie, Meiquan & Jia, Xudong, 2021. "Analyzing bicycle level of service using virtual reality and deep learning technologies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 115-129.
- Zandie, Mohammad & Ng, Hoon Kiat & Gan, Suyin & Muhamad Said, Mohd Farid & Cheng, Xinwei, 2023. "Multi-input multi-output machine learning predictive model for engine performance and stability, emissions, combustion and ignition characteristics of diesel-biodiesel-gasoline blends," Energy, Elsevier, vol. 262(PA).
- Zhu, Yizi & He, Zhixia & Xuan, Tiemin & Shao, Zhuang, 2024. "An enhanced automated machine learning model for optimizing cycle-to-cycle variation in hydrogen-enriched methanol engines," Applied Energy, Elsevier, vol. 362(C).
- Ye, Jiahao & Peng, Qingguo, 2023. "Improved emissions conversion of diesel oxidation catalyst using multifactor impact analysis and neural network," Energy, Elsevier, vol. 271(C).
- Muhammed A. Hassan & Hindawi Salem & Nadjem Bailek & Ozgur Kisi, 2023. "Random Forest Ensemble-Based Predictions of On-Road Vehicular Emissions and Fuel Consumption in Developing Urban Areas," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
- El-Shafay, A.S. & Gad, M.S. & Ağbulut, Ümit & Attia, El-Awady, 2023. "Optimization of performance and emission outputs of a CI engine powered with waste fat biodiesel: A detailed RSM, fuzzy multi-objective and MCDM application," Energy, Elsevier, vol. 275(C).
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Keywords
Diesel engine; Particle number; Exhaust emission; Artificial Neural Network; Symbolic regression; Biodiesel;All these keywords.
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