Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems

Computers Materials & Continua ◽

10.32604/cmc.2019.06641 ◽

2019 ◽

Vol 59 (1) ◽

pp. 345-359 ◽

Author(s):

Cosmin Anitescu ◽

Elena Atroshchenko ◽

Naif Alajlan ◽

Timon Rabczuk

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Boundary Value Problems ◽

Boundary Value ◽

Second Order ◽

Network Methods ◽

Artificial Neural

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Artificial Neural Network Technique for Solution of Nonlinear Elliptic Boundary Value Problems

Advances in Intelligent Systems and Computing - Proceedings of Fourth International Conference on Soft Computing for Problem Solving ◽

10.1007/978-81-322-2217-0_10 ◽

2014 ◽

pp. 113-121 ◽

Author(s):

Neha Yadav ◽

Anupam Yadav ◽

Kusum Deep

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Boundary Value Problems ◽

Elliptic Boundary ◽

Boundary Value ◽

Elliptic Boundary Value Problems ◽

Elliptic Boundary Value ◽

Nonlinear Elliptic ◽

Nonlinear Elliptic Boundary ◽

Artificial Neural

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Forecasting travel demand: a comparison of logit and artificial neural network methods

Journal of the Operational Research Society ◽

10.1038/sj.jors.2600590 ◽

1998 ◽

Vol 49 (7) ◽

pp. 717-722 ◽

Author(s):

M C M de Carvalho ◽

M S Dougherty ◽

A S Fowkes ◽

M R Wardman

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Travel Demand ◽

Network Methods ◽

Artificial Neural

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Prediction Models of Air Outlet States of Desiccant Wheels Using Multiple Regression and Artificial Neural Network Methods Based on Criterion Numbers

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2021.117940 ◽

2021 ◽

pp. 117940

Author(s):

Xianzhong Chen ◽

Rang Tu ◽

Ming Li ◽

Xu Yang

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Multiple Regression ◽

Prediction Models ◽

Network Methods ◽

Artificial Neural

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On Application of Artificial Neural Network Methods in Large-eddy Simulations with Unresolved Urban Surfaces

Modern Applied Science ◽

10.5539/mas.v4n8p3 ◽

2010 ◽

Vol 4 (8) ◽

Author(s):

Igor Esau

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Large Eddy Simulations ◽

Network Methods ◽

Artificial Neural

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The integration of fuzzy logic and artificial neural network methods for mobile robot obstacle avoidance in a static environment

2013 IEEE 3rd International Conference on System Engineering and Technology ◽

10.1109/icsengt.2013.6650193 ◽

2013 ◽

Author(s):

Muhammad Akmal Jeffril ◽

Nohaidda Sariff

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fuzzy Logic ◽

Mobile Robot ◽

Obstacle Avoidance ◽

Network Methods ◽

Artificial Neural

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Determinants of energy use in UK higher education buildings using statistical and artificial neural network methods

International Journal of Sustainable Built Environment ◽

10.1016/j.ijsbe.2012.05.002 ◽

2012 ◽

Vol 1 (1) ◽

pp. 50-63 ◽

Author(s):

D. Hawkins ◽

S.M. Hong ◽

R. Raslan ◽

D. Mumovic ◽

S. Hanna

Keyword(s):

Neural Network ◽

Higher Education ◽

Artificial Neural Network ◽

Network Methods ◽

Artificial Neural ◽

Uk Higher Education

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ARTIFICIAL NEURAL NETWORK METHODS FOR PREDICTION OF RIVER FLOW

Adalya Journal ◽

10.37896/aj9.12/004 ◽

2020 ◽

Vol 9 (12) ◽

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Network Methods ◽

Artificial Neural

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Characterization of aluminum surface using image processing methods and artificial neural network methods

2017 International Conference on Computing, Engineering, and Design (ICCED) ◽

10.1109/ced.2017.8308113 ◽

2017 ◽

Author(s):

Heppi Familiana ◽

Iyus Maulana ◽

Aries Karyadi ◽

Irwin Syahri Cebro ◽

Agustami Sitorus

Keyword(s):

Neural Network ◽

Image Processing ◽

Artificial Neural Network ◽

Aluminum Surface ◽

Processing Methods ◽

Network Methods ◽

Artificial Neural

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Modeling and predicting sunspot activity-state space reconstruction + artificial neural network methods

Geophysical Research Letters ◽

10.1029/98gl00136 ◽

1998 ◽

Vol 25 (4) ◽

pp. 457-460 ◽

Author(s):

D. R. Kulkarni ◽

A. S. Pandya ◽

J. C. Parikh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

State Space ◽

Sunspot Activity ◽

State Space Reconstruction ◽

Network Methods ◽

Artificial Neural ◽

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The prediction of atmospheric concentrations of toluene using artificial neural network methods in Tehran

Advances in environmental research ◽

10.12989/aer.2015.4.4.219 ◽

2015 ◽

Vol 4 (4) ◽

pp. 219-231 ◽

Author(s):

Gholamreza Asadollahfardi ◽

Shiva Homayoun Aria ◽

Mahdi Mehdinejad

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Network Methods ◽

Artificial Neural ◽

Atmospheric Concentrations

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