Numerical Simulation and Artificial Neural Network Modeling for Predicting Welding-Induced Distortion in Butt-Welded 304L Stainless Steel Plates

Stainless Steel ◽

Network Modeling ◽

Steel Plates ◽

Neural Network Modeling ◽

304L Stainless Steel ◽

Artificial neural network modeling to evaluate and predict the mechanical strength of duplex stainless steel during casting

Sadhana ◽

10.1007/s12046-021-01742-w ◽

2021 ◽

Vol 46 (4) ◽

Author(s):

TITUS THANKACHAN ◽

K SOORYA PRAKASH ◽

SATHISKUMAR JOTHI

Keyword(s):

Neural Network ◽

Stainless Steel ◽

Mechanical Strength ◽

Duplex Stainless Steel ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling of Pavement Performance using Expert Judgement

Road Materials and Pavement Design ◽

10.3166/rmpd.3.373-384 ◽

2002 ◽

Vol 3 (4) ◽

pp. 373-384

Author(s):

Medhi Parvani

Keyword(s):

Neural Network ◽

Network Modeling ◽

Pavement Performance ◽

Expert Judgement ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling of Phytoestrogen Binding to Estrogen Receptors

Letters in Drug Design & Discovery ◽

10.2174/157018006778194871 ◽

2006 ◽

Vol 3 (7) ◽

pp. 436-442 ◽

Cited By ~ 4

Author(s):

S. Agatonovic-Kustrin ◽

J. Turner

Keyword(s):

Neural Network ◽

Estrogen Receptors ◽

Network Modeling ◽

Neural Network Modeling ◽

Innovations in Corrosion and Materials Science (Formerly Recent Patents on Corrosion Science) ◽

An Artificial Neural Network Modeling to Study Unpredictable Degradation of Carbon Steel Marine Structure with Environmental Variables: Chloride, Sulphate, Bicarbonates, pH

10.2174/2352094904999141202103233 ◽

2015 ◽

Vol 4 (2) ◽

pp. 127-133

Author(s):

Subir Paul ◽

Sujit K Guchhait ◽

Kamal Goswami

Keyword(s):

Neural Network ◽

Carbon Steel ◽

Environmental Variables ◽

Network Modeling ◽

Neural Network Modeling ◽

Marine Structure ◽

Porosity Estimation of Mesoporous TiO 2 ‐ZnO Nanocrystalline by Artificial Neural Network Modeling

Chemical Engineering & Technology ◽

10.1002/ceat.202000297 ◽

2021 ◽

Author(s):

Soroush Soltani ◽

Taha Roodbar Shojaei ◽

Nasrin Khanian ◽

Thomas Shean Yaw Choong ◽

Nilofar Asim ◽

...

Keyword(s):

Neural Network ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural ◽

Porosity Estimation

Numerical and artificial neural network modeling study on the first-law and second-law performance of a novel helical heat sink filled with water–silver nanofluid

Journal of Thermal Analysis and Calorimetry ◽

10.1007/s10973-021-10697-3 ◽

2021 ◽

Author(s):

Mohammad Reza Salehfekr Arabani ◽

Nader Pourmahmoud ◽

Iraj Mirzaii

Keyword(s):

Neural Network ◽

Heat Sink ◽

Network Modeling ◽

Neural Network Modeling ◽

Second Law ◽

Artificial Neural ◽

Modeling Study

Analysis of diclofenac removal by metal-organic framework MIL-100(Fe) using multi-parameter experiments and artificial neural network modeling

Journal of the Taiwan Institute of Chemical Engineers ◽

10.1016/j.jtice.2021.04.021 ◽

2021 ◽

Author(s):

Ho-Young Jang ◽

Jin-Kyu Kang ◽

Seung-Chan Lee ◽

Jeong-Ann Park ◽

Song-Bae Kim

Keyword(s):

Neural Network ◽

Metal Organic Framework ◽

Network Modeling ◽

Neural Network Modeling ◽

Metal Organic ◽

Artificial Neural ◽

Organic Framework

Artificial Neural Network Modeling of Bioethanol Production Via Syngas Fermentation

Biophysical Economics and Sustainability ◽

10.1007/s41247-020-00083-2 ◽

2021 ◽

Vol 6 (1) ◽

Author(s):

Sahar Safarian ◽

Seyed Mohammad Ebrahimi Saryazdi ◽

Runar Unnthorsson ◽

Christiaan Richter

Keyword(s):

Neural Network ◽

Network Modeling ◽

Neural Network Modeling ◽

Bioethanol Production ◽

Syngas Fermentation ◽

Hot deformation behavior and artificial neural network modeling of β-γ TiAl alloy containing high content of Nb

Materials Today Communications ◽

10.1016/j.mtcomm.2021.102405 ◽

2021 ◽

pp. 102405

Author(s):

Gengwu Ge ◽

Zeming Wang ◽

Laiqi Zhang ◽

Junpin Lin

Keyword(s):

Neural Network ◽

Hot Deformation ◽

Deformation Behavior ◽

Tial Alloy ◽

Network Modeling ◽

Neural Network Modeling ◽

Hot Deformation Behavior ◽

Reinforcing the phenomenological consistency in artificial neural network modeling of multiphase reactors

Chemical Engineering and Processing - Process Intensification ◽

10.1016/s0255-2701(02)00203-9 ◽

2003 ◽

Vol 42 (8-9) ◽

pp. 653-662 ◽

Cited By ~ 9

Author(s):

Laurentiu A Tarca ◽

Bernard P.A Grandjean ◽

Faı̈çal Larachi

Keyword(s):

Neural Network ◽

Network Modeling ◽

Neural Network Modeling ◽

Multiphase Reactors ◽