Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network

Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network

Machine learning has started to be used in engine research to optimize combustion and predict fuel spray characteristics. This paper presents the development of a machine learning model using a Genetic Algorithm-Backpropagation (GA-BP) neural network to predict spray penetration. The GA-BP neural ne...

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Bibliographic Details
Main Authors: Yifei Zhang, Gengxin Zhang, Dawei Wu, Qian Wang, Ebrahim Nadimi, Penghua Shi, Hongming Xu
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Energy and AI
Subjects:
Machine learning
Genetic Algorithm-Backpropagation
Fuel spray penetration
Parametric sensitivity analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546824001095
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