SHIFTS RECOGNITION IN CORRELATED MANUFACTURING PROCESS PARAMETERS USING NEURAL NETWORK

REFERENCES

• Anderson , J. A. and Rosenfeld , E. 1988 . Neurocomputing: Foundations of Research Cambridge, MA : MIT Press .
   Google Scholar
• Box , G. E. P. , Jenkins , G. M. and Reinsel , G. C. 1992 . Time Series Analysis Forecasting and Control () , 3rd eds. Englewood Cliffs, New Jersey : Prentice-Hall .
   Google Scholar
• Cheng , B. and Titterington , D. M. 1994 . Neural networks: a review from a statistical perspective . Statistical Science , 9 : 2 – 54 .
   Web of Science ®Google Scholar
• Cheng , C. S. 1995 . A multi-layer neural network model for detecting changes in the process mean . Computers and Industrial Engineering , 28 ( 1 ) : 51 – 61 .
   Web of Science ®Google Scholar
• Cheng , C. S. and Hubele , N. F. 1996 . A pattern recognition algorithm for an x-bar control chart . IIE Transactions , 28 : 215 – 224 .
   Web of Science ®Google Scholar
• Cook , D. F. and Chiu , C. C. 1998 . Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters . IIE Transactions , 30 : 227 – 234 .
   Web of Science ®Google Scholar
• Haykin , S. S. 1994 . Neural Networks: A Comprehensive Foundation New York : Macmillan .
   Google Scholar
• Hecht-Nielsen , R. 1990 . Neurocomputing Menlo Park, CA : Addison Wesley .
   Google Scholar
• Hwarng , H. B. and Hubele , N. F. 1991 . X control chart pattern identification through efficient off-line neural network training . IIE Transaction , 25 ( 3 ) : 27 – 39 .
   Web of Science ®Google Scholar
• Kang , S. 1991 . An Investigation of the Use of Feedforward Neural Networks for Forecasting Kent State University . Ph. D. Thesis
   Google Scholar
• Lippmann , R. P. 1987 . An introduction to computing with neural nets . IEEE ASSP Magazine , : 4 – 22 . April
   Google Scholar
• Longnecker , M. T. and Ryan , T. P. 1993 . Charting ccorrelated process data , Working paper Department of Statistics, Texas A&M University, College Station, TX 77843 .
   Google Scholar
• Makridakis , S. , Wheelwright , S. C. and McGee , V. E. 1983 . Forecasting: Methods and Applications New York : John Wiely .
   Google Scholar
• Neter , J. , Kutner , M. H. , Nachtsheim , C. J. and Wasserman , W. 1996 . Applied Regression Models () , 3rd Eds. Boston, MA : Richard D. Irwin, Inc. .
   Google Scholar
• Pandit , S. M. and Wu , S. 1983 . Time Series and System Analysis with Applications New York : John Wiley and Sons .
   Google Scholar
• Pugh , G. A. 1991 . A comparison of neural networks to SPC charts . Computers and Industrial Engineering , 21 ( 1/4 ) : 253 – 255 .
   Web of Science ®Google Scholar
• Qnet97 . 1998 . Neural network modeling for windows 95/98/NT Winnetka, IL., , USA : Vesta Services, Inc. .
   Google Scholar
• Ripley , B. 1994 . Neural networks and related methods for classification . Journal of the Royal Statistical Society , 56 : 409 – 456 .
   Google Scholar
• Rumelhart , D. E. , Hinton , G. E. and Williams , R. J. 1986 . Learning internal representations by error propagation in parallel distributed processing Vol. 1 , 136 Cambridge, MA, London, , England : A Bradford Book, MIT Press .
   Google Scholar
• Smith , A. E. 1994 . X-bar and r control chart interpretation using neural computing . International Journal of Production Research , 32 ( 2 ) : 309 – 320 .
   Web of Science ®Google Scholar
• Stern , H. S. 1996 . Neural networks in applied statistics . Technometrics , 38 ( 3 ) : 205 – 220 .
   Web of Science ®Google Scholar
• Tang , Z. and Fishwick , P. A. 1993 . Feedforward neural nets as models for time series forecasting . ORSA Journal on Computing , 5 ( 4 ) : 374 – 385 .
   Google Scholar
• Tang , Z. and Fishwick , P. A. 1993 . Feedforward neural nets as models for time series forecasting . ORSA Journal on Computing , 5 ( 4 ) : 374 – 385 .
   Google Scholar
• Wardell , D. G. , Moskowitz , H. and Plante , R. D. 1992 . Control charts in the presence of data correlation . Management Science , 38 ( 8 ) : 1084 – 1105 .
   Web of Science ®Google Scholar
• Wong , F. S. 1991 . Time series forecasting using backpropagation neural networks . Neurocomputing , 2 : 147 – 159 .
   Google Scholar