Snow Damages Estimation using Artificial Neural Network and Multiple Regression Analysis

Korean Society of Hazard Mitigation ◽

10.9798/kosham.2017.17.2.315 ◽

2017 ◽

Vol 17 (2) ◽

pp. 315-325 ◽

Author(s):

Soon Ho Kwon ◽

◽

Jinwoo Lee ◽

Gunhui Chung ◽

◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Artificial Neural

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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 ◽

Author(s):

Hyongdoo Jang ◽

Erkan Topal

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Artificial Neural

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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 ◽

Author(s):

Narayanaswamy Subramanian ◽

Archit Yajnik ◽

Rayasa S. Ramachandra Murthy

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Artificial Neural

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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 ◽

Author(s):

Mohsen Niazian ◽

Seyed Ahmad Sadat-Noori ◽

Moslem Abdipour

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Regression Analysis ◽

Essential Oil ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Oil Content ◽

Carum Copticum ◽

Artificial Neural ◽

Analysis Models

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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 ◽

Author(s):

Daryoush Emadi ◽

Musbah Mahfoud

Keyword(s):

Neural Network ◽

Mechanical Properties ◽

Artificial Neural Network ◽

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Analysis Techniques ◽

Artificial Neural

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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 ◽

Artificial Neural Network ◽

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Radial Basis ◽

Artificial Neural

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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 ◽

Artificial Neural Network ◽

Regression Analysis ◽

Real Estate ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Artificial Neural

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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 ◽

Artificial Neural Network ◽

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Co2 Laser ◽

Laser Cutting ◽

Comparative Modeling ◽

Artificial Neural

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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 ◽

Author(s):

C. Bruni ◽

A. Forcellese ◽

F. Gabrielli ◽

M. Simoncini

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Hot Deformation ◽

Aluminium Alloys ◽

Rheological Behaviour ◽

Artificial Neural

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

Optics and Lasers in Engineering ◽

10.1016/s0143-8166(00)00097-x ◽

2000 ◽

Vol 34 (3) ◽

pp. 149-158 ◽

Author(s):

Jeongick Lee ◽

Kiwoan Um

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Arc Welding ◽

Gas Metal Arc Welding ◽

Metal Arc Welding ◽

Artificial Neural

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Artificial Neural Network versus Multiple Regression Analysis for Prediction of Lifetime Milk Production in Sahiwal Cattle

Journal of Applied Animal Research ◽

10.1080/09712119.2010.10539517 ◽

2010 ◽

Vol 38 (2) ◽

pp. 233-237 ◽

Author(s):

R. S. Gandhi ◽

T. V. Raja ◽

A. P. Ruhil ◽

Amit Kumar

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Milk Production ◽

Sahiwal Cattle ◽

Artificial Neural

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