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

Comparative Study ◽

Hot Deformation ◽

Deformation Behavior ◽

Network Models ◽

Hot Deformation Behavior ◽

Neural Network Models ◽

Artificial Neural ◽

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 ◽

Artificial Neural Network Models ◽

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 ◽

Artificial Neural Network Models ◽

Cd Removal

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 ◽

Artificial 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 ◽

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

Materials Science and Engineering A ◽

10.1016/j.msea.2011.12.108 ◽

2012 ◽

Vol 536 ◽

pp. 216-222 ◽

Cited By ~ 50

Author(s):

Hong-Ying Li ◽

Xiao-Feng Wang ◽

Dong-Dong Wei ◽

Ji-Dong Hu ◽

Yang-Hua Li

Keyword(s):

Neural Network ◽

High Temperature ◽

Comparative Study ◽

Deformation Behavior ◽

Network Models ◽

High Temperature Deformation ◽

Temperature Deformation ◽

Neural Network Models ◽

A Comparative Study of Multiple Regression and Artificial Neural Network models for a domestic refrigeration system with a hydrocarbon refrigerant mixtures

Materials Today Proceedings ◽

10.1016/j.matpr.2020.02.116 ◽

2020 ◽

Vol 22 ◽

pp. 1545-1553

Author(s):

D.V. Raghunatha Reddy ◽

P. Bhramara ◽

K. Govindarajulu

Keyword(s):

Neural Network ◽

Comparative Study ◽

Multiple Regression ◽

Network Models ◽

Refrigeration System ◽

Neural Network Models ◽

Refrigerant Mixtures ◽

Artificial Neural ◽

A Comparative Study on the Performance of Intrusion Detection using Decision Tree and Artificial Neural Network Models

Journal of the Korea Society of Digital Industry and Information Management ◽

10.17662/ksdim.2015.11.4.033 ◽

2015 ◽

Vol 11 (4) ◽

pp. 33-45 ◽

Cited By ~ 5

Author(s):

Seongrae Jo ◽

Haengnam Sung ◽

Byunghyuk Ahn

Keyword(s):

Neural Network ◽

Intrusion Detection ◽

Decision Tree ◽

Comparative Study ◽

Network Models ◽

Neural Network Models ◽

Artificial Neural ◽

2011 IEEE International Symposium on Computer-Aided Control System Design (CACSD) ◽

Universal approximation with error bounds for dynamic artificial neural network models: A tutorial and some new results

10.1109/cacsd.2011.6044542 ◽

2011 ◽

Cited By ~ 4

Author(s):

Kwang Ki Kevin Kim ◽

Ernesto Rios Patron ◽

Richard D. Braatz

Keyword(s):

Neural Network ◽

Error Bounds ◽

Network Models ◽

Universal Approximation ◽

Neural Network Models ◽

Artificial Neural ◽

Bridging the Analytical and Artificial Neural Network Models for Keyhole Formation with Experimental Verification in Laser-melting Deposition: A Novel Approach

Results in Physics ◽

10.1016/j.rinp.2021.104440 ◽

2021 ◽

pp. 104440

Author(s):

Muhammad Arif Mahmood ◽

Andrei C. Popescu ◽

Mihai Oane ◽

Asma Channa ◽

Sabin Mihai ◽

...

Keyword(s):

Neural Network ◽

Experimental Verification ◽

Network Models ◽

Laser Melting ◽

Neural Network Models ◽

Novel Approach ◽

Laser Melting Deposition ◽

Artificial Neural ◽