Estimating willingness to pay for urban water supply: a comparison of artificial neural networks and multiple regression analysis

Impact Assessment and Project Appraisal ◽

10.3152/147154699781767710 ◽

1999 ◽

Vol 17 (4) ◽

pp. 273-281 ◽

Author(s):

Malik Ranasinghe ◽

Goh Bee-Hua ◽

T. Barathithasan

Keyword(s):

Neural Networks ◽

Regression Analysis ◽

Artificial Neural Networks ◽

Willingness To Pay ◽

Water Supply ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Urban Water ◽

Urban Water Supply ◽

Artificial Neural

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Comparative study of artificial neural networks and multiple regression analysis for predicting hoisting times of tower cranes

Building and Environment ◽

10.1016/s0360-1323(00)00029-9 ◽

2001 ◽

Vol 36 (4) ◽

pp. 457-467 ◽

Author(s):

Arthur W.T Leung ◽

C.M Tam ◽

D.K Liu

Keyword(s):

Neural Networks ◽

Regression Analysis ◽

Artificial Neural Networks ◽

Comparative Study ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Artificial Neural

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Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks

Journal of Real Estate Research ◽

10.1080/10835547.2001.12091068 ◽

2001 ◽

Vol 22 (3) ◽

pp. 313-336 ◽

Author(s):

Nguyen Nghiep ◽

Cripps Al

Keyword(s):

Neural Networks ◽

Regression Analysis ◽

Artificial Neural Networks ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Housing Value ◽

Artificial Neural

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Approximate life cycle assessment of product concepts using multiple regression analysis and artificial neural networks

KSME International Journal ◽

10.1007/bf02982436 ◽

2003 ◽

Vol 17 (12) ◽

pp. 1969-1976 ◽

Author(s):

Ji Hyung Park ◽

Kwang-Kyu Seo

Keyword(s):

Neural Networks ◽

Regression Analysis ◽

Artificial Neural Networks ◽

Life Cycle Assessment ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Artificial Neural ◽

Product Concepts

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A COMPARATIVE STUDY OF ARTIFICIAL NEURAL NETWORKS AND MULTIPLE REGRESSION ANALYSIS FOR MODELING SKIDDING TIME

Applied Ecology and Environmental Research ◽

10.15666/aeer/1702_17411756 ◽

2019 ◽

Vol 17 (2) ◽

pp. 1741-1756

Author(s):

E ÇALIŞKAN ◽

Y SEVİM

Keyword(s):

Neural Networks ◽

Regression Analysis ◽

Artificial Neural Networks ◽

Comparative Study ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Artificial Neural

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Development of Artificial Neural Networks and Multiple Regression Analysis for Estimating of Formation Permeability

10.2118/195502-ms ◽

2019 ◽

Author(s):

Farqad Hadi ◽

Ali Albehadili ◽

Abduihussein Jassim ◽

Faleh Almahdawi

Keyword(s):

Neural Networks ◽

Regression Analysis ◽

Artificial Neural Networks ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Artificial Neural

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A Comparative Analysis for forecasting the NAV’s of Indian Mutual Fund using Multiple Regression Analysis and Artificial Neural Networks

International Journal of Trade Economics and Finance ◽

10.7763/ijtef.2012.v3.225 ◽

2012 ◽

pp. 347-350 ◽

Author(s):

E. Priyadarshini ◽

A. Chandra Babu

Keyword(s):

Neural Networks ◽

Regression Analysis ◽

Artificial Neural Networks ◽

Comparative Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Mutual Fund ◽

Artificial Neural

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Modeling the Drilling Process of Aluminum Composites Using Multiple Regression Analysis and Artificial Neural Networks

Journal of Minerals and Materials Characterization and Engineering ◽

10.4236/jmmce.2012.1110108 ◽

2012 ◽

Vol 11 (10) ◽

pp. 1039-1049 ◽

Author(s):

Ahmad Mayyas ◽

Awni Qasaimeh ◽

Khalid Alzoubi ◽

Susan Lu ◽

Mohammed T. Hayajneh ◽

...

Keyword(s):

Neural Networks ◽

Regression Analysis ◽

Artificial Neural Networks ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Drilling Process ◽

Aluminum Composites ◽

Artificial Neural

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Modeling Blanking Process Using Multiple Regression Analysis and Artificial Neural Networks

Journal of Materials Engineering and Performance ◽

10.1007/s11665-011-0079-x ◽

2011 ◽

Vol 21 (8) ◽

pp. 1611-1619 ◽

Author(s):

Emad S. Al-Momani ◽

Ahmad T. Mayyas ◽

Ibrahim Rawabdeh ◽

Rajaa Alqudah

Keyword(s):

Neural Networks ◽

Regression Analysis ◽

Artificial Neural Networks ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Artificial Neural ◽

Blanking Process

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Use of multiple regression analysis and artificial neural networks to model the effect of nitrogen in the organogenesis of Pinus taeda L.

Plant Cell Tissue and Organ Culture (PCTOC) ◽

10.1007/s11240-019-01581-y ◽

2019 ◽

Vol 137 (3) ◽

pp. 455-464 ◽

Author(s):

Javier Orlando Barone

Keyword(s):

Neural Networks ◽

Regression Analysis ◽

Artificial Neural Networks ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Pinus Taeda ◽

Artificial Neural ◽

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Prediction of Blast Furnace Slag Concrete Compressive Strength Using Artificial Neural Networks and Multiple Regression Analysis

2019 International Conference on Computer and Drone Applications (IConDA) ◽

10.1109/iconda47345.2019.9034920 ◽

2019 ◽

Author(s):

Fei Ha Chiew

Keyword(s):

Neural Networks ◽

Compressive Strength ◽

Regression Analysis ◽

Artificial Neural Networks ◽

Blast Furnace ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Blast Furnace Slag ◽

Concrete Compressive Strength ◽

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