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Artificial neural network based approach for dynamic parameter design · Study

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ArticleArtificial neural network based approach for dynamic parameter design

Jae-Ryung Jung2010

Article2010

Artificial neural network based approach for dynamic parameter design

Jae-Ryung Jung · Bong‐Jin Yum

30 citations·0/0 files stored·Expert Systems with Applications

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Optimal Experimental Design Methods Neural Networks and Applications Probabilistic and Robust Engineering Design

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References

1989Design and Analysis of Computer Experiments 1987Large Sample Properties of Simulations Using Latin Hypercube Sampling 1989Quality Engineering through Design Optimization 1987Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-to-Noise Ratios 1987Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-to-Noise Ratios 1989Performance Measures Independent of Adjustment: an Explanation and Extension of Taguchi’s Signal-To-Noise Ratios 2004The Design and Analysis of Computer Experiments 2007A data mining approach to dynamic multiple responses in Taguchi experimental design

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Details

Year2010

Typearticle

Published2010-07-07

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations30

Files0 public / 0

ShelfOptimal Experimental Design Methods

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doi10.1016/j.eswa.2010.06.092

openalex_workW2053908901

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