Assessment and Prediction of Liquefaction Potential Using Different Artificial Neural Network Models: A Case Study

Network Models ◽

Neural Network Models ◽

Liquefaction Potential ◽

Artificial Neural ◽

Artificial Neural Network Models as a Decision Support Tool for Selection in Sugarcane: A Case Study Using Seedling Populations

Crop Science ◽

10.2135/cropsci2010.02.0057 ◽

2011 ◽

Vol 51 (1) ◽

pp. 21-31 ◽

Cited By ~ 3

Author(s):

Marvellous M. Zhou ◽

Collins A. Kimbeng ◽

Thomas L. Tew ◽

Kenneth A. Gravois ◽

Michael J. Pontif

Keyword(s):

Neural Network ◽

Decision Support ◽

Network Models ◽

Decision Support Tool ◽

Neural Network Models ◽

Support Tool ◽

Artificial Neural ◽

Tourism demand modelling and forecasting with artificial neural network models: The Mozambique case study

Tékhne ◽

10.1016/j.tekhne.2016.04.006 ◽

2016 ◽

Vol 14 (2) ◽

pp. 113-124 ◽

Cited By ~ 13

Author(s):

H.A. Constantino ◽

P.O. Fernandes ◽

J.P. Teixeira

Keyword(s):

Neural Network ◽

Network Models ◽

Tourism Demand ◽

Neural Network Models ◽

Demand Modelling ◽

Artificial Neural ◽

Artificial Neural Network Models ◽

Modelling And Forecasting

Evaluation of suspended load transport rate using transport formulas and artificial neural network models (Case study: Chelchay Catchment)

Journal of Hydrodynamics ◽

10.1016/s1001-6058(11)60385-6 ◽

2013 ◽

Vol 25 (3) ◽

pp. 459-470 ◽

Cited By ~ 9

Author(s):

Arman Haddadchi ◽

Neshat Movahedi ◽

Neshat Vahidi ◽

Mohammad Hossein Omid ◽

Amir Ahmad Dehghani

Keyword(s):

Neural Network ◽

Network Models ◽

Suspended Load ◽

Transport Rate ◽

Neural Network Models ◽

Load Transport ◽

Artificial Neural ◽

An optimisation methodology of artificial neural network models for predicting solar radiation: a case study

Theoretical and Applied Climatology ◽

10.1007/s00704-015-1398-x ◽

2015 ◽

Vol 123 (3-4) ◽

pp. 769-783 ◽

Cited By ~ 8

Author(s):

Ahmed Rezrazi ◽

Salah Hanini ◽

Maamar Laidi

Keyword(s):

Neural Network ◽

Solar Radiation ◽

Network Models ◽

Neural Network Models ◽

Artificial Neural ◽

Artificial neural network models for lot-sizing problem: a case study

Neural Computing and Applications ◽

10.1007/s00521-012-0863-z ◽

2012 ◽

Vol 22 (6) ◽

pp. 1039-1047 ◽

Cited By ~ 3

Author(s):

Ercan Şenyiğit ◽

Uğur Atici

Keyword(s):

Neural Network ◽

Lot Sizing ◽

Network Models ◽

Neural Network Models ◽

Lot Sizing Problem ◽

Artificial Neural ◽

Artificial neural network models by ALOS PALSAR data for aboveground stand carbon predictions of pure beech stands: a case study from northern of Turkey

Geocarto International ◽

10.1080/10106049.2018.1499817 ◽

2018 ◽

Vol 35 (1) ◽

pp. 17-28 ◽

Cited By ~ 1

Author(s):

Alkan Günlü ◽

İlker Ercanlı

Keyword(s):

Neural Network ◽

Network Models ◽

Neural Network Models ◽

Alos Palsar ◽

Artificial Neural ◽

Case Study: Finite Element Method and Artificial Neural Network Models for Flow through Jeziorsko Earthfill Dam in Poland

Journal of Hydraulic Engineering ◽

10.1061/(asce)0733-9429(2005)131:6(431) ◽

2005 ◽

Vol 131 (6) ◽

pp. 431-440 ◽

Cited By ~ 46

Author(s):

Gokmen Tayfur ◽

Dorota Swiatek ◽

Andrew Wita ◽

Vijay P. Singh

Keyword(s):

Neural Network ◽

Finite Element Method ◽

Finite Element ◽

Network Models ◽

Neural Network Models ◽

Flow Through ◽

Artificial Neural ◽

A pre-processing method for independent historical data in artificial neural network models: A case study in Laizhou Bay

Regional Studies in Marine Science ◽

10.1016/j.rsma.2020.101238 ◽

2020 ◽

Vol 35 ◽

pp. 101238

Author(s):

Bing Feng ◽

Rijun Hu

Keyword(s):

Neural Network ◽

Historical Data ◽

Network Models ◽

Processing Method ◽

Laizhou Bay ◽

Neural Network Models ◽

Artificial Neural ◽

2011 IEEE International Symposium on Computer-Aided Control System Design (CACSD) ◽

Universal approximation with error bounds for dynamic artificial neural network models: A tutorial and some new results

10.1109/cacsd.2011.6044542 ◽

2011 ◽

Cited By ~ 4

Author(s):

Kwang Ki Kevin Kim ◽

Ernesto Rios Patron ◽

Richard D. Braatz

Keyword(s):

Neural Network ◽

Error Bounds ◽

Network Models ◽

Universal Approximation ◽

Neural Network Models ◽

Artificial Neural ◽

Bridging the Analytical and Artificial Neural Network Models for Keyhole Formation with Experimental Verification in Laser-melting Deposition: A Novel Approach

Results in Physics ◽

10.1016/j.rinp.2021.104440 ◽

2021 ◽

pp. 104440

Author(s):

Muhammad Arif Mahmood ◽

Andrei C. Popescu ◽

Mihai Oane ◽

Asma Channa ◽

Sabin Mihai ◽

...

Keyword(s):

Neural Network ◽

Experimental Verification ◽

Network Models ◽

Laser Melting ◽

Neural Network Models ◽

Novel Approach ◽

Laser Melting Deposition ◽

Artificial Neural ◽