A comparative study on modified Zerilli–Armstrong, Arrhenius-type and artificial neural network models to predict high-temperature deformation behavior in T24 steel

High Temperature ◽

Comparative Study ◽

Deformation Behavior ◽

Network Models ◽

Temperature Deformation ◽

Neural Network Models ◽

A comparative study on the phenomenological and artificial neural network models to predict hot deformation behavior of AlCuMgPb alloy

Journal of Alloys and Compounds ◽

10.1016/j.jallcom.2016.04.300 ◽

2016 ◽

Vol 687 ◽

pp. 263-273 ◽

Cited By ~ 36

Author(s):

H.R. Rezaei Ashtiani ◽

P. Shahsavari

Keyword(s):

Neural Network ◽

Comparative Study ◽

Hot Deformation ◽

Deformation Behavior ◽

Network Models ◽

Hot Deformation Behavior ◽

Neural Network Models ◽

Artificial Neural ◽

A comparative study on Arrhenius-type constitutive model and artificial neural network model to predict high-temperature deformation behaviour in Aermet100 steel

Materials Science and Engineering A ◽

10.1016/j.msea.2011.03.017 ◽

2011 ◽

Vol 528 (13-14) ◽

pp. 4774-4782 ◽

Cited By ~ 117

Author(s):

Guoliang Ji ◽

Fuguo Li ◽

Qinghua Li ◽

Huiqu Li ◽

Zhi Li

Keyword(s):

Neural Network ◽

High Temperature ◽

Constitutive Model ◽

Comparative Study ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Deformation Behaviour ◽

Temperature Deformation

A comparative study on Arrhenius-type constitutive equations and artificial neural network model to predict high-temperature deformation behaviour in 12Cr3WV steel

Computational Materials Science ◽

10.1016/j.commatsci.2012.05.053 ◽

2012 ◽

Vol 62 ◽

pp. 227-234 ◽

Cited By ~ 46

Author(s):

X. Xiao ◽

G.Q. Liu ◽

B.F. Hu ◽

X. Zheng ◽

L.N. Wang ◽

...

Keyword(s):

Neural Network ◽

High Temperature ◽

Comparative Study ◽

Neural Network Model ◽

Constitutive Equations ◽

Artificial Neural Network Model ◽

Deformation Behaviour ◽

Temperature Deformation

A comparative study on constitutive equations and artificial neural network model to predict high-temperature deformation behavior in Nitinol 60 shape memory alloy

Journal of Materials Research ◽

10.1557/jmr.2015.144 ◽

2015 ◽

Vol 30 (12) ◽

pp. 1988-1998 ◽

Cited By ~ 3

Author(s):

Xiaoyong Shu ◽

Shiqiang Lu ◽

Kelu Wang ◽

Guifa Li

Keyword(s):

Neural Network ◽

High Temperature ◽

Shape Memory Alloy ◽

Neural Network Model ◽

Deformation Behavior ◽

Artificial Neural Network Model ◽

Temperature Deformation ◽

Image Position

Abstract

Comparative Study of Artificial Neural Network Models for Forecasting the Indoor Temperature in Smart Buildings

Smart Cities - Lecture Notes in Computer Science ◽

10.1007/978-3-319-59513-9_4 ◽

2017 ◽

pp. 29-38 ◽

Cited By ~ 1

Author(s):

Sadi Alawadi ◽

David Mera ◽

Manuel Fernández-Delgado ◽

José A. Taboada

Keyword(s):

Neural Network ◽

Comparative Study ◽

Network Models ◽

Neural Network Models ◽

Indoor Temperature ◽

Smart Buildings ◽

Artificial Neural ◽

A comparative study of hybrid artificial neural network models for predicting Cr(VI) adsorption onto activated carbon

10.5004/dwt.2018.21930 ◽

2018 ◽

Vol 103 ◽

pp. 182-198 ◽

Cited By ~ 3

Author(s):

Clint Sutherland ◽

Beverly S. Chittoo ◽

Chintanapalli Venkobachar

Keyword(s):

Neural Network ◽

Activated Carbon ◽

Comparative Study ◽

Network Models ◽

Neural Network Models ◽

Artificial Neural ◽

Hybrid Artificial Neural Network

A comparative study of artificial neural network models for the prediction of Cd removal efficiency of polymer inclusion membranes

10.5004/dwt.2019.23531 ◽

2019 ◽

Vol 143 ◽

pp. 48-58 ◽

Cited By ~ 5

Author(s):

Beytullah Eren ◽

Muhammad Yaqub ◽

Volkan Eyupoglu

Keyword(s):

Neural Network ◽

Comparative Study ◽

Removal Efficiency ◽

Network Models ◽

Neural Network Models ◽

Artificial Neural ◽

Cd Removal

2018 1st International Scientific Conference of Engineering Sciences - 3rd Scientific Conference of Engineering Science (ISCES) ◽

Mathematical and artificial neural network models for corrosion of high temperature — High pressure boiler pipes in presence of oxygen scavengers

10.1109/isces.2018.8340543 ◽

2018 ◽

Cited By ~ 2

Author(s):

Anees A. Khadom ◽

Abdul Mun'em A. Karim ◽

Salah N. Farhan

Keyword(s):

Neural Network ◽

High Pressure ◽

High Temperature ◽

Network Models ◽

Neural Network Models ◽

Oxygen Scavengers ◽

Artificial Neural ◽

High Temperature High Pressure

Comparative study on constitutive relationship of as-cast Ti60 titanium alloy during hot deformation based on Arrhenius-type and artificial neural network models

Materials & Design (1980-2015) ◽

10.1016/j.matdes.2013.04.009 ◽

2013 ◽

Vol 51 ◽

pp. 95-104 ◽

Cited By ~ 79

Author(s):

Wenwen Peng ◽

Weidong Zeng ◽

Qingjiang Wang ◽

Hanqing Yu

Keyword(s):

Neural Network ◽

Titanium Alloy ◽

Comparative Study ◽

Hot Deformation ◽

Network Models ◽

Constitutive Relationship ◽

Neural Network Models ◽

Relationship Of

A comparative study of phenomenological, physically-based and artificial neural network models to predict the Hot flow behavior of API 5CT-L80 steel

Materials Today Communications ◽

10.1016/j.mtcomm.2020.101528 ◽

2020 ◽

Vol 25 ◽

pp. 101528 ◽

Cited By ~ 1

Author(s):

H. Ahmadi ◽

H.R. Rezaei Ashtiani ◽

M. Heidari

Keyword(s):

Neural Network ◽

Comparative Study ◽

Flow Behavior ◽

Network Models ◽

Neural Network Models ◽

Physically Based ◽

Artificial Neural ◽