Parameter optimization of a multi-response process for lead frame manufacturing by employing artificial neural networks

This publication has 17 references indexed in Scilit:

• Optimization of multiple quality responses involving qualitative and quantitative characteristics in IC manufacturing using neural networks
  Computers in Industry, 2001
• Multi-response robust design by principal component analysis
  Total Quality Management, 1997
• A PRAGMATIC APPROACH TO MULTIPLE-RESPONSE PROBLEMS USING LOSS FUNCTIONS
  Quality Engineering, 1996
• Photochemistry Multiple Response Co-optimization
  Quality Engineering, 1995
• METHODS TO DETERMINE OPTIMUM FACTOR LEVELS FOR MULTIPLE RESPONSES IN DESIGNED EXPERIMENTATION
  Quality Engineering, 1995
• A fuzzy approach for multiresponse optimization: An off-line quality engineering problem
  Fuzzy Sets and Systems, 1994
• STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING
  IIE Transactions, 1993
• Approximation by superpositions of a sigmoidal function
  Mathematics of Control, Signals, and Systems, 1989
• Characterizing and optimizing multi‐response processes by the taguchi method
  Quality and Reliability Engineering International, 1988
• Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions
  Technometrics, 1981