Hardware implementation of neural network-based engine model using FPGA-Reference-Cited by-同舟云学术

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Hardware implementation of neural network-based engine model using FPGA

Published:2022-12 Issue:12 Volume:61 Page:12039-12050
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Magdy Saady Marina,Hassan Essai Mohamed

Publisher

Elsevier BV

Subject

General Engineering

Reference27 articles.

1. Analysis of significance of variables in IC engine operation: an empirical methodology;Salam;Energy Convers. Manage.,2020

2. Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blends;Mohamed;Appl. Energy,2012

3. Prediction efficiency of artificial neural network for CRDI engine output parameters;Mebin Samuel;Transport. Eng.,2021

4. Predicting the public adoption of connected and autonomous vehicles;Ahmed;IEEE Trans. Intell. Transp. Syst.,2022

5. Mathematical modelling of diesel engine operational performance parameters in transient modes;Rapalis;Sci. J. Maritime Res.,2018

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1. Optimizing activation functions and hidden neurons in Backpropagation neural networks for real-time NOx concentration prediction;Energy Sources, Part A: Recovery, Utilization, and Environmental Effects;2024-01-23

2. Forecasting mixture composition in the extractive distillation of n-hexane and ethyl acetate with n-methyl-2-pyrrolidone through ANN for a preliminary energy assessment;AIMS Energy;2024

3. An efficient design methodology to speed up the FPGA implementation of artificial neural networks;Engineering Science and Technology, an International Journal;2023-11

4. Dynamics of a Memristive Bridge with Valence Change Mechanism (VCM) Devices;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21

5. Artificial neural network-based DTC of an induction machine with experimental implementation on FPGA;Engineering Applications of Artificial Intelligence;2023-05

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