A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel
Alternative fuel is one of the widely used fuel substitutions for both petrol and diesel in the
field of internal combustion engine. The increase in the demand for alternative fuel is …
field of internal combustion engine. The increase in the demand for alternative fuel is …
Artificial neural networks for vibration based inverse parametric identifications: A review
MS Hossain, ZC Ong, Z Ismail, S Noroozi… - Applied Soft Computing, 2017 - Elsevier
Vibration behavior of any solid structure reveals certain dynamic characteristics and property
parameters of that structure. Inverse problems dealing with vibration response utilize the …
parameters of that structure. Inverse problems dealing with vibration response utilize the …
Applying neural networks to the solution of forward and inverse heat conduction problems
S Deng, Y Hwang - International Journal of Heat and Mass Transfer, 2006 - Elsevier
This paper employs the continuous-time analogue Hopfield neural network to compute the
temperature distribution in forward heat conduction problems and solves inverse heat …
temperature distribution in forward heat conduction problems and solves inverse heat …
A novel way to determine transient heat flux based on GBDT machine learning algorithm
W Wu, J Wang, Y Huang, H Zhao, X Wang - International Journal of Heat …, 2021 - Elsevier
The traditional transient heat flux measuring instrument has harsh working conditions and
high cost, which is not conducive to promoting the wide range of applications in the …
high cost, which is not conducive to promoting the wide range of applications in the …
Inverse identification of temperature-dependent thermal conductivity via genetic algorithm with cost function-based rearrangement of genes
A new application of the cost function-based rearrangement of genes (proposed by Liu
(2008)[1]) is presented in this paper through the genetic algorithm-based solution of the …
(2008)[1]) is presented in this paper through the genetic algorithm-based solution of the …
Simultaneous estimation of temperature-dependent volumetric heat capacity and thermal conductivity functions via neural networks
An artificial neural network based solution of the inverse heat conduction problem of
simultaneous identification of the temperature-dependent volumetric heat capacity and …
simultaneous identification of the temperature-dependent volumetric heat capacity and …
Applying artificial neural networks (ANN) to the estimation of thermal contact conductance in the exhaust valve of internal combustion engine
K Goudarzi, A Moosaei, M Gharaati - Applied Thermal Engineering, 2015 - Elsevier
Exhaust valve temperature increases significantly due exhaust hot gases obtained from
combustion fuel-air mixture in combustion chamber of internal combustion engine. In order …
combustion fuel-air mixture in combustion chamber of internal combustion engine. In order …
Image-based reconstruction for a 3D-PFHS heat transfer problem by ReConNN
Y Li, H Wang, X Deng - International Journal of Heat and Mass Transfer, 2019 - Elsevier
The heat transfer performance of Plate Fin Heat Sink (PFHS) has been investigated
experimentally and extensively. Commonly, the objective function of the PFHS design is …
experimentally and extensively. Commonly, the objective function of the PFHS design is …
Deep learning for nanofluid field reconstruction in experimental analysis
T Liu, Y Li, Y Xie, D Zhang - Ieee Access, 2020 - ieeexplore.ieee.org
Experiment is an important method to study the thermal and flow performance. Nevertheless,
only limited information, such as local temperature and pressure, can be obtained through …
only limited information, such as local temperature and pressure, can be obtained through …
Solution of inverse heat conduction problems using Kalman filter-enhanced Bayesian back propagation neural network data fusion
S Deng, Y Hwang - International Journal of Heat and Mass Transfer, 2007 - Elsevier
This paper presents an efficient technique for analyzing inverse heat conduction problems
using a Kalman Filter-enhanced Bayesian Back Propagation Neural Network (KF-B2PNN) …
using a Kalman Filter-enhanced Bayesian Back Propagation Neural Network (KF-B2PNN) …