Modelling and estimation of Wide Wheel abrasion values of building stones by multivariate regression and artificial neural network analyses

Multivariate Regression ◽

Building Stones ◽

Network Analyses ◽

Experimental, regression learner, numerical, and artificial neural network analyses on a complex composite structure subjected to compression loading

Mechanics of Advanced Materials and Structures ◽

10.1080/15376494.2020.1864071 ◽

2021 ◽

pp. 1-17

Author(s):

Saeed Mouloodi ◽

Hadi Rahmanpanah ◽

Colin Burvill ◽

Soheil Gohari ◽

Helen M. S Davies

Keyword(s):

Neural Network ◽

Composite Structure ◽

Compression Loading ◽

Network Analyses ◽

Comparing multivariate regression and artificial neural network to predict barley production from soil characteristics in northern Iran

Archives of Agronomy and Soil Science ◽

10.1080/03650341003631400 ◽

2011 ◽

Vol 57 (5) ◽

pp. 549-565 ◽

Cited By ~ 24

Author(s):

Shamsollah Ayoubi ◽

Kanwar Lal Sahrawat

Keyword(s):

Neural Network ◽

Multivariate Regression ◽

Soil Characteristics ◽

Northern Iran ◽

Comparison of Linear Multivariable, Partial Least Square Regression, and Artificial Neural Network Analyses to Study the Effect of Different Parameters on Anode Properties

Light Metals 2015 ◽

10.1002/9781119093435.ch189 ◽

2015 ◽

pp. 1129-1134 ◽

Cited By ~ 1

Author(s):

Dipankar Bhattacharyay ◽

Duygu Kocaefe ◽

Yasar Kocaefe ◽

Brigitte Morais

Keyword(s):

Neural Network ◽

Partial Least Square ◽

Least Square ◽

Partial Least Square Regression ◽

Network Analyses ◽

Least Square Regression ◽

A comparative study of the performance of artificial neural network and multivariate regression in simulating springs discharge in the Caspian Southern Watersheds, Iran

Applied Water Science ◽

10.1007/s13201-018-0886-4 ◽

2018 ◽

Vol 9 (1) ◽

Author(s):

V. Gholami ◽

M. R. Khaleghi

Keyword(s):

Neural Network ◽

Comparative Study ◽

Multivariate Regression ◽

Hourly predictive artificial neural network and multivariate regression tree models of Alternaria and Cladosporium spore concentrations in Szczecin (Poland)

International Journal of Biometeorology ◽

10.1007/s00484-009-0243-2 ◽

2009 ◽

Vol 53 (6) ◽

pp. 555-562 ◽

Cited By ~ 12

Author(s):

Agnieszka Grinn-Gofroń ◽

Agnieszka Strzelczak

Keyword(s):

Neural Network ◽

Multivariate Regression ◽

Regression Tree ◽

Multivariate Regression Tree ◽

Tree Models ◽

A PROPOSAL TO FACILITATE MANDATORY BRIDGE LOAD TESTS WITH ARTIFICIAL NEURAL NETWORK ANALYSES USING A DIGITAL DATA AGGREGATION PLATFORM

Architecture Civil Engineering Environment ◽

10.21307/acee-2021-023 ◽

2021 ◽

Vol 14 (3) ◽

pp. 69-78

Author(s):

Piotr OWERKO ◽

Jerzy KAŁUŻA ◽

Marek WAZOWSKI

Keyword(s):

Neural Network ◽

Data Aggregation ◽

Digital Data ◽

Network Analyses ◽

Load Tests ◽

Numerical and artificial neural network analyses of ground surface settlement of tunnel in saturated soil

SN Applied Sciences ◽

10.1007/s42452-020-2742-z ◽

2020 ◽

Vol 2 (5) ◽

Cited By ~ 2

Author(s):

Vahed Ghiasi ◽

Mehdi Koushki

Keyword(s):

Neural Network ◽

Ground Surface ◽

Surface Settlement ◽

Saturated Soil ◽

Network Analyses ◽

Ground Surface Settlement ◽

Using genetic algorithm and artificial neural network analyses to design an Al–Si casting alloy of minimum porosity

Materials & Design (1980-2015) ◽

10.1016/j.matdes.2004.11.027 ◽

2006 ◽

Vol 27 (7) ◽

pp. 605-609 ◽

Cited By ~ 53

Author(s):

S.H. Mousavi Anijdan ◽

A. Bahrami ◽

H.R. Madaah Hosseini ◽

A. Shafyei

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Casting Alloy ◽

Network Analyses ◽

Wavelet and artificial neural network analyses of tide forecasting and supplement of tides around Taiwan and South China Sea

Ocean Engineering ◽

10.1016/j.oceaneng.2007.04.003 ◽

2007 ◽

Vol 34 (16) ◽

pp. 2161-2175 ◽

Cited By ~ 34

Author(s):

Bang-Fuh Chen ◽

Han-Der Wang ◽

Chih-Chun Chu

Keyword(s):

Neural Network ◽

South China Sea ◽

South China ◽

China Sea ◽

Network Analyses ◽

Prediction of the shear strength parameters from easily-available soil properties by means of multivariate regression and artificial neural network methods

Geomechanics and Geoengineering ◽

10.1080/17486025.2020.1778194 ◽

2020 ◽

pp. 1-13

Author(s):

Mojtaba Mohammadi ◽

Seyed Mahmoud Fatemi Aghda ◽

Mehdi Talkhablou ◽

Akbar Cheshomi

Keyword(s):

Neural Network ◽

Shear Strength ◽

Soil Properties ◽

Multivariate Regression ◽

Shear Strength Parameters ◽

Strength Parameters ◽

Network Methods ◽