Article references

Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Implementation of artificial neural-networks to model the performance parameters of Stirling engine

Seyed Abbas Sadatsakkak, Mohammad H. Ahmadi, Mohammad Ali Ahmadi

Mechanics & Industry, 17 3 (2016) 307

Published online: 2016-02-15

DOI: https://doi.org/10.1051/meca/2015062

This article has been cited by the following article(s):

A neural network-based scheme for predicting critical unmeasurable parameters of a free piston Stirling oscillator

Alireza Shourangiz-Haghighi and A.R. Tavakolpour-Saleh
Energy Conversion and Management 196 623 (2019)
DOI: 10.1016/j.enconman.2019.06.035
See this article

Precise prediction of biogas thermodynamic properties by using ANN algorithm

Mahmood Farzaneh-Gord, Behnam Mohseni-Gharyehsafa, Ahmad Arabkoohsar, Mohammad Hossein Ahmadi and Mikhail A. Sheremet
Renewable Energy 147 179 (2020)
DOI: 10.1016/j.renene.2019.08.112
See this article

Applicability of connectionist methods to predict thermal resistance of pulsating heat pipes with ethanol by using neural networks

Mohammad Hossein Ahmadi, Afshin Tatar, Mohammad Alhuyi Nazari, et al.
International Journal of Heat and Mass Transfer 126 1079 (2018)
DOI: 10.1016/j.ijheatmasstransfer.2018.06.085
See this article

Determination of thermal conductivity ratio of CuO/ethylene glycol nanofluid by connectionist approach

Mohammad-Ali Ahmadi, Mohammad Hossein Ahmadi, Morteza Fahim Alavi, et al.
Journal of the Taiwan Institute of Chemical Engineers 91 383 (2018)
DOI: 10.1016/j.jtice.2018.06.003
See this article

Thermal conductivity and dynamic viscosity modeling of Fe2O3/water nanofluid by applying various connectionist approaches

Mohammad Hossein Ahmadi, Afshin Tatar, Parinaz Seifaddini, et al.
Numerical Heat Transfer, Part A: Applications 74 (6) 1301 (2018)
DOI: 10.1080/10407782.2018.1505092
See this article

ANN model to predict the performance of parabolic dish collector with tubular cavity receiver

Reyhaneh Loni, Alibakhsh Kasaeian, Kazem Shahverdi, et al.
Mechanics & Industry 18 (4) 408 (2017)
DOI: 10.1051/meca/2017016
See this article

Optimization of district heating system aided by geothermal heat pump: A novel multistage with multilevel ANN modelling

Halit Arat and Oguz Arslan
Applied Thermal Engineering 111 608 (2017)
DOI: 10.1016/j.applthermaleng.2016.09.150
See this article

Development of Simple-to-Use Predictive Models to Determine Thermal Properties of Fe2O3/Water-Ethylene Glycol Nanofluid

Mohammad Hossein Ahmadi, Ali Ghahremannezhad, Kwok-Wing Chau, et al.
Computation 7 (1) 18 (2019)
DOI: 10.3390/computation7010018
See this article

A review on the applications of intelligence methods in predicting thermal conductivity of nanofluids

Mahdi Ramezanizadeh, Mohammad Alhuyi Nazari, Mohammad Hossein Ahmadi, Giulio Lorenzini and Ioan Pop
Journal of Thermal Analysis and Calorimetry 138 (1) 827 (2019)
DOI: 10.1007/s10973-019-08154-3
See this article