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A NOVEL MEANS OF APPLYING NEURAL NETWORKS TO OPTIMIZE THE MULTIRESPONSE PROBLEM
7 references·3 citing·33 second hop
A NOVEL MEANS OF APPLYING NEURAL NETWORKS TO OPTIMIZE THE MULTIRESPONSE PROBLEM (2001)A NOVEL MEANS OF APPLYING NEURAL NETWORKS…OPTIMIZING MULTI-RESPONSE PROBLEMS IN THE TAGUCHI METHOD BY FUZZY MULTIPLE ATTRIBUTE DECISION MAKING (1997)OPTIMIZING MULTI-RESPONSE PRO…Modified Desirability Functions for Multiple Response Optimization (1996)Modified Desirability Functio…A PRAGMATIC APPROACH TO MULTIPLE-RESPONSE PROBLEMS USING LOSS FUNCTIONS (1996)A PRAGMATIC APPROACH TO MULTI…STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING (1993)STRATEGIES FOR ROBUST MULTIRE…Characterizing and optimizing multi‐response processes by the taguchi method (1988)Characterizing and optimizing…Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions (1981)Simultaneous Optimization of …Simultaneous Optimization of Several Response Variables (1980)Simultaneous Optimization of …Comparison of performances of five prospective approaches for the multi-response optimization (2009)Comparison of performances of…Dynamic multi-response optimization using principal component analysis and multiple criteria evaluation of the grey relation model (2006)Dynamic multi-response optimi…A New Approach for Multiple-Response Optimization (2005)A New Approach for Multiple-R…Quality Engineering Using Robust Design (1990)Quality Engineering Using Robust Design (1991)Design and Analysis of Experiments (1992)VARIANCE OF PREDICTED RESPONSE AS AN OPTIMIZATION CRITERION IN MULTIRESPONSE EXPERIMENTS (2000)Multiresponse systems optimization using a goal attainment approach (2004)Control problems of grey systems (1982)Multiple Attribute Decision Making (1981)Solving a multiresponse simulation-optimization problem with discrete variables using a multiple-attribute decision-making method (2004)Multi-response optimization using weighted principal component (2005)The use of the Taguchi method with grey relational analysis to optimize the thin-film sputtering process with multiple quality characteristic in color filter manufacturing (2008)Empirical Model Building and Response Surfaces (1988)Multi-response robust design by principal component analysis (1997)A Compromise Approach to Multiresponse Optimization (1998)An interactive desirability function method to multiresponse optimization (2008)On the Experimental Attainment of Optimum Conditions (1951)Multicriteria decision making (1992)On the Experimental Attainment of Optimum Conditions (1992)Response Surface Methodology—Current Status and Future Directions (1999)Introduction to Grey system theory (1989)Quality Engineering in Production Systems (1990)Response Surfaces: Designs and Analyses (1997)Off-Line Quality Control, Parameter Design, and the Taguchi Method (1985)Off-Line Quality Control, Parameter Design, and the Taguchi Method (1989)The optimization of multi‐response problems in the Taguchi method (1997)Optimization of Correlated Multiple Quality Characteristics Using Desirability Function (2004)Optimization of multiple responses using principal component analysis and technique for order preference by similarity to ideal solution (2004)Some New Three Level Designs for the Study of Quantitative Variables (1960)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Dual Response Surface Optimization: A Fuzzy Modeling Approach (1998)Optimization of Designed Experiments Based on Multiple Criteria Utilizing a Pareto Frontier (2011)Box-Behnken design: An alternative for the optimization of analytical methods (2007)Response surface methodology (2010)Experimental design and multiple response optimization. Using the desirability function in analytical methods development (2014)
this work references cited by second hop

References

  • 1980Simultaneous Optimization of Several Response Variables5,233 cited
  • 1981Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions386 cited
  • 1996Modified Desirability Functions for Multiple Response Optimization374 cited
  • 1993STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING372 cited
  • 1997OPTIMIZING MULTI-RESPONSE PROBLEMS IN THE TAGUCHI METHOD BY FUZZY MULTIPLE ATTRIBUTE DECISION MAKING185 cited
  • 1988Characterizing and optimizing multi‐response processes by the taguchi method177 cited
  • 1996A PRAGMATIC APPROACH TO MULTIPLE-RESPONSE PROBLEMS USING LOSS FUNCTIONS55 cited

Cited by

  • 2009Comparison of performances of five prospective approaches for the multi-response optimization39 cited
  • 2005A New Approach for Multiple-Response Optimization38 cited
  • 2006Dynamic multi-response optimization using principal component analysis and multiple criteria evaluation of the grey relation model31 cited

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