A comparison in a back-bead prediction of gas metal arc welding using multiple regression analysis and artificial neural network

Regression Analysis ◽

Multiple Regression ◽

Arc Welding ◽

Gas Metal Arc Welding ◽

Metal Arc Welding ◽

Optimizing overbreak prediction based on geological parameters comparing multiple regression analysis and artificial neural network

Tunnelling and Underground Space Technology ◽

10.1016/j.tust.2013.06.003 ◽

2013 ◽

Vol 38 ◽

pp. 161-169 ◽

Cited By ~ 28

Author(s):

Hyongdoo Jang ◽

Erkan Topal

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Multiple Regression ◽

Artificial neural network as an alternative to multiple regression analysis in optimizing formulation parmaeters of cytarabine liposomes

AAPS PharmSciTech ◽

10.1007/bf02830572 ◽

2004 ◽

Vol 5 (1) ◽

pp. 11-19 ◽

Cited By ~ 8

Author(s):

Narayanaswamy Subramanian ◽

Archit Yajnik ◽

Rayasa S. Ramachandra Murthy

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Multiple Regression ◽

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture ◽

A study on the development of the arc stability index using multiple regression analysis in the short-circuit transfer region of gas metal arc welding

10.1243/0954405011515280 ◽

2001 ◽

Vol 215 (2) ◽

pp. 195-205 ◽

Cited By ~ 7

Author(s):

M J Kang ◽

S Rhee

Keyword(s):

Regression Analysis ◽

Multiple Regression ◽

Arc Welding ◽

Short Circuit ◽

Gas Metal Arc Welding ◽

Stability Index ◽

Arc Stability ◽

Metal Arc Welding ◽

Transfer Region

Artificial neural network and multiple regression analysis models to predict essential oil content of ajowan (Carum copticum L.)

Journal of Applied Research on Medicinal and Aromatic Plants ◽

10.1016/j.jarmap.2018.04.001 ◽

2018 ◽

Vol 9 ◽

pp. 124-131 ◽

Cited By ~ 7

Author(s):

Mohsen Niazian ◽

Seyed Ahmad Sadat-Noori ◽

Moslem Abdipour

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Essential Oil ◽

Multiple Regression ◽

Oil Content ◽

Carum Copticum ◽

Artificial Neural ◽

Analysis Models

Comparison of Artificial Neural Network and Multiple Regression Analysis Techniques in Predicting the Mechanical Properties of A3 56 Alloy

Procedia Engineering ◽

10.1016/j.proeng.2011.04.098 ◽

2011 ◽

Vol 10 ◽

pp. 589-594 ◽

Cited By ~ 5

Author(s):

Daryoush Emadi ◽

Musbah Mahfoud

Keyword(s):

Neural Network ◽

Mechanical Properties ◽

Regression Analysis ◽

Multiple Regression ◽

Analysis Techniques ◽

Radial basis artificial neural network assisted multiple regression analysis of a GFRP turned composites

Materials Today Proceedings ◽

10.1016/j.matpr.2020.12.695 ◽

2021 ◽

Author(s):

Amith Gadagi ◽

Chandrashekar Adake

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Multiple Regression ◽

Radial Basis ◽

Research on the Effect of Artificial Intelligence Real Estate Forecasting Using Multiple Regression Analysis and Artificial Neural Network: A Case Study of Ghana

Journal of Computer and Communications ◽

10.4236/jcc.2021.910001 ◽

2021 ◽

Vol 09 (10) ◽

pp. 1-14

Author(s):

Madami Michael Ishaku ◽

Hill Isaac Lewu

Keyword(s):

Neural Network ◽

Artificial Intelligence ◽

Regression Analysis ◽

Real Estate ◽

Multiple Regression ◽

Comparative modeling of CO2 laser cutting using multiple regression analysis and artificial neural network

International Journal of the Physical Sciences ◽

10.5897/ijps12.109 ◽

2012 ◽

Vol 7 (16) ◽

Author(s):

Miloš Madić

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Multiple Regression ◽

Co2 Laser ◽

Laser Cutting ◽

Comparative Modeling ◽

Modelling of the rheological behaviour of aluminium alloys in multistep hot deformation using the multiple regression analysis and artificial neural network techniques

Journal of Materials Processing Technology ◽

10.1016/j.jmatprotec.2006.03.230 ◽

2006 ◽

Vol 177 (1-3) ◽

pp. 323-326 ◽

Cited By ~ 76

Author(s):

C. Bruni ◽

A. Forcellese ◽

F. Gabrielli ◽

M. Simoncini

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Multiple Regression ◽

Hot Deformation ◽

Aluminium Alloys ◽

Rheological Behaviour ◽

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture ◽

Prediction of process parameters for gas metal arc welding by multiple regression analysis

10.1243/0954405001517757 ◽

2000 ◽

Vol 214 (6) ◽

pp. 443-449 ◽

Cited By ~ 21

Author(s):

J I Lee ◽

S Rhee

Keyword(s):

Regression Analysis ◽

Multiple Regression ◽

Process Parameters ◽

Arc Welding ◽

Gas Metal Arc Welding ◽

Metal Arc Welding