Comparison of Artificial Neural Network (ANN) and Multiple Regression Analysis for Predicting the amount of Solid Waste Generation in a Tourist and Tropical Area—Langkawi Island

Regression Analysis ◽

Solid Waste ◽

Multiple Regression ◽

Waste Generation ◽

Tropical Area ◽

Solid Waste Generation ◽

Artificial Neural Network Ann

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 ◽

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

Modelling of Thrust Forces in Drilling of AISI 316 Stainless Steel Using Artificial Neural Network and Multiple Regression Analysis

Strojniški vestnik – Journal of Mechanical Engineering ◽

10.5545/sv-jme.2011.297 ◽

2012 ◽

Vol 58 (7-8) ◽

pp. 492-498 ◽

Cited By ~ 6

Author(s):

Adem Çiçek ◽

Turgay Kıvak ◽

Gürcan Samtaş ◽

Yusuf Çay

Keyword(s):

Neural Network ◽

Stainless Steel ◽

Regression Analysis ◽

Multiple Regression ◽

316 Stainless Steel ◽

Aisi 316 Stainless Steel ◽

Aisi 316 ◽

Thrust Forces

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 ◽

Prediction of municipal solid waste generation for optimum planning and management with artificial neural network—case study: Faridabad City in Haryana State (India)

International Journal of Systems Assurance Engineering and Management ◽

10.1007/s13198-016-0484-5 ◽

2016 ◽

Vol 9 (1) ◽

pp. 91-97 ◽

Cited By ~ 10

Author(s):

Dipti Singh ◽

Ajay Satija

Keyword(s):

Neural Network ◽

Municipal Solid Waste ◽

Solid Waste ◽

Waste Generation ◽

Planning And Management ◽

Optimum Planning ◽

Solid Waste Generation ◽

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 ◽