Validation of Ecology and Energy Parameters of Diesel Exhausts Using Different Fuel Mixtures, Consisting of Hydrogenated Vegetable Oil and Diesel Fuels, Presented at Real Market: Approaches Using Artificial Neural Network for Large-Scale Predictions

Validation of Ecology and Energy Parameters of Diesel Exhausts Using Different Fuel Mixtures, Consisting of Hydrogenated Vegetable Oil and Diesel Fuels, Presented at Real Market: Approaches Using Artificial Neural Network for Large-Scale Predictions

Machine learning models have been used to precisely forecast emissions from diesel engines, specifically examining the impact of various fuel types (HVO10, HVO 30, HVO40, HVO50) on the accuracy of emission forecasts. The research has revealed that models with different numbers of perceptrons had gre...

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Bibliographic Details
Main Authors: Jonas Matijošius, Alfredas Rimkus, Alytis Gruodis
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Machines
Subjects:
machine learning
diesel engines
emissions prediction
artificial neural networks (ANNs)
predictive modeling
Hydrogenated Vegetable Oil (HVO)
Online Access:https://www.mdpi.com/2075-1702/12/6/353

Internet

https://www.mdpi.com/2075-1702/12/6/353

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