An artificial neural network-based response surface method for reliability analyses of c-φ slopes with spatially variable soil

China Ocean Engineering ◽

10.1007/s13344-016-0006-x ◽

2016 ◽

Vol 30 (1) ◽

pp. 113-122 ◽

Author(s):

Su-xun Shu ◽

Wen-hui Gong

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface ◽

Response Surface Method ◽

Surface Method ◽

Artificial Neural

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A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2018.03.095 ◽

2018 ◽

Vol 90 ◽

pp. 665-686 ◽

Author(s):

I.M. Yusri ◽

A.P.P. Abdul Majeed ◽

R. Mamat ◽

M.F. Ghazali ◽

Omar I. Awad ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface ◽

Response Surface Method ◽

Engine Performance ◽

Alternative Fuel ◽

Exhaust Emissions ◽

Surface Method ◽

Artificial Neural

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A new artificial neural network-based response surface method for structural reliability analysis

Probabilistic Engineering Mechanics ◽

10.1016/j.probengmech.2007.10.003 ◽

2008 ◽

Vol 23 (1) ◽

pp. 51-63 ◽

Author(s):

Jin Cheng ◽

Q.S. Li ◽

Ru-cheng Xiao

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Reliability Analysis ◽

Response Surface ◽

Response Surface Method ◽

Structural Reliability ◽

Structural Reliability Analysis ◽

Surface Method ◽

Artificial Neural

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Comparison of sensitivity matrix method, power function-based response surface method, and artificial neural network in the analysis of building fire egress performance

Journal of Building Engineering ◽

10.1016/j.jobe.2021.102860 ◽

2021 ◽

pp. 102860

Author(s):

Honggang Wang ◽

Nicholas A. Dembsey ◽

Brian J. Meacham ◽

Shichao Liu ◽

Simeoni Albert

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface ◽

Power Function ◽

Response Surface Method ◽

Matrix Method ◽

Sensitivity Matrix ◽

Building Fire ◽

Surface Method ◽

Artificial Neural

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Capacity estimation of torque converters with piston holes using the response surface method and an artificial neural network

International Journal of Automotive Technology ◽

10.1007/s12239-011-0032-x ◽

2011 ◽

Vol 12 (2) ◽

pp. 273-280 ◽

Author(s):

D. M. Chun ◽

J. C. Lee ◽

J. C. Yeo ◽

S. H. Ahn ◽

S. S. Hong ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface ◽

Response Surface Method ◽

Capacity Estimation ◽

Surface Method ◽

Artificial Neural ◽

Torque Converters

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Modeling daily dissolved oxygen concentration using modified response surface method and artificial neural network: a comparative study

Neural Computing and Applications ◽

10.1007/s00521-017-2917-8 ◽

2017 ◽

Vol 30 (10) ◽

pp. 2995-3006 ◽

Author(s):

Behrooz Keshtegar ◽

Salim Heddam

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Comparative Study ◽

Dissolved Oxygen ◽

Response Surface ◽

Oxygen Concentration ◽

Response Surface Method ◽

Dissolved Oxygen Concentration ◽

Surface Method ◽

Artificial Neural

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Modeling and optimization of porous aerogel adsorbent for removal of cadmium from crab viscera homogenate using response surface method and artificial neural network

LWT ◽

10.1016/j.lwt.2021.111990 ◽

2021 ◽

pp. 111990

Author(s):

Shuaizhong Zhang ◽

Yongkai Yuan ◽

Chengzhen Liu ◽

Yong Yang ◽

Dandan Zhang ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface ◽

Response Surface Method ◽

Modeling And Optimization ◽

Surface Method ◽

Artificial Neural

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Reliability calculation of time-consuming problems using a small-sample artificial neural network-based response surface method

Neural Computing and Applications ◽

10.1007/s00521-016-2485-3 ◽

2016 ◽

Vol 28 (6) ◽

pp. 1249-1263 ◽

Author(s):

David Lehký ◽

Martina Šomodíková

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface ◽

Response Surface Method ◽

Small Sample ◽

Reliability Calculation ◽

Surface Method ◽

Artificial Neural

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Comparative Analysis of Abrasive Wear Using Response Surface Method and Artificial Neural Network

Journal of The Institution of Engineers (India) Series D ◽

10.1007/s40033-021-00250-9 ◽

2021 ◽

Author(s):

Dinesh Y. Dhande ◽

Mangesh R. Phate ◽

Nazaruddin Sinaga

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Comparative Analysis ◽

Abrasive Wear ◽

Response Surface ◽

Response Surface Method ◽

Surface Method ◽

Artificial Neural

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Small-sample artificial neural network based response surface method for reliability analysis of concrete bridges

Life-Cycle of Civil Engineering Systems - Life-Cycle of Structural Systems ◽

10.1201/b17618-283 ◽

2014 ◽

pp. 1903-1909 ◽

Author(s):

D Lehký ◽

M Šomodiková

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Reliability Analysis ◽

Response Surface ◽

Response Surface Method ◽

Small Sample ◽

Concrete Bridges ◽

Surface Method ◽

Artificial Neural

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Modeling tensile modulus of (polyamide 6)/nanoclay composites: Response surface method vs. taguchi-optimized artificial neural network

Journal of Vinyl and Additive Technology ◽

10.1002/vnl.21416 ◽

2014 ◽

Vol 22 (1) ◽

pp. 29-36 ◽

Author(s):

Mehdi Moghri ◽

Seyed Ismail Seyed Shahabadi ◽

Milos Madic

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface ◽

Response Surface Method ◽

Tensile Modulus ◽

Polyamide 6 ◽

Surface Method ◽

Artificial Neural

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