Study of CNG/diesel Dual Fuel Engine's Emissions by Means of RBF Neural Network

Journal of Zhejiang University SCIENCE
doi 10.1631/jzus.2004.0960
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Zhejiang University Press

Related search

The Study on Dual Fuel Spray and Characteristics of Combustion of Diesel, Natural Gas and Dual Fuel

Journal of Energy Conservation
2018English

Nonlinear Identification on Based RBF Neural Network

2011English

The Study of PSO-RBF Neural Network Generalized Predictive Control Strategy in Unit Plant

2016English

Assessment of CO2 and NOx Emissions of One Diesel and One Bi-Fuel Gasoline/CNG Euro 6 Vehicles During Real-World Driving and Laboratory Testing

Frontiers in Mechanical Engineering
2019English

Transformer Fault Diagnosis Based on RBF Neural Network

2018English

The Research of PV MPPT Based on RBF-BP Neural Network Optimized by GA

2015English

The Dual-Fuel CFD Combustion Model With Direct and Indirect CNG Injection

ITM Web of Conferences
2017English

Advantages and Disadvantages of Diesel Single and Dual-Fuel Engines

Frontiers in Mechanical Engineering
2019English

Estimation of Propagation Structure by Means of Hopfield Neural Network

English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy