A variable-parameter unsupervised learning clustering neural network approach with application to machine-part group formation

References

• AHALT , S. C. , KRISHNAMURTHY , A. K. , CHEN , P. , and MELTON , D. E. , 1990 , Competitive learning algorithms for vector quantization . Neural Networks , 3 , 277 – 290 .
   Web of Science ®Google Scholar
• CARPENTER , G. , and GROSSBERG , S. , 1987 , A massively parallel architectur for a self-organizing neural pattern recognition machine . Computer Vision, Graphics and Image Processing , 37 , 54 – 115 .
   Google Scholar
• CARPENTER , G. , and GROSSBERG , S. , 1987 , ART2 Self-organization of stable category recognition codes for analog input patterns . Applied Optics , 26 , 4919 – 4946 .
   PubMed Web of Science ®Google Scholar
• CHAN , H. M. , and MILNER , D. A. , 1982 , Direct clustering algorithm for group formation in cellular manufacture . Journal of Manufacturing Systems , 9 , 65 – 75 .
   Google Scholar
• CHANDRSEKHARAM , M. P. , and RAJAGOPALAN , R. , 1986 , MODROC An extension of rank order clustering for group technology . International Journal of Production Research , 24 , 1221 – 1233 .
   Google Scholar
• DUDA , R. O. , and HART , P. E. , 1973 , Pattern Classification and Scene Analysis ( New York Wiley ).
   Google Scholar
• GARCIA , H. , and PROTH , J. M. , 1985 , Group technology in production management . Applied Stochastic Models and Data Analysis , 2 , 25 – 34 .
   Google Scholar
• GROSSBERG , S. , 1976 , Adaptive pattern classification and universal recording I parallel development and coding of neural feature detectors . Biological Cybernetics , 23 , 121 – 134 .
   PubMed Web of Science ®Google Scholar
• GROSSBERG , S. , 1987 , Competitive learning: from interactive activation to adaptive resonance . Cognitive Science , 11 , 23 – 63 .
   Web of Science ®Google Scholar
• et al. , 1990a , An efficient heuristic in manufacturing cell formation for group technology application . International Journal of Production Research , 28 , 185 – 198 .
   Web of Science ®Google Scholar
• HARHALAKIS et al., 1990b , Manufacturing Cell Design Using Simulated Annealing An Industrial Application . Journal of Intelligent Manufacturing , 1 , 185 – 191 .
   Web of Science ®Google Scholar
• HARHALAKIS et al., 1991 , Manufacturing Cells and Part Families Generalization of the GP Method . Information and Decision Technologies , 17 , 51 – 61 .
   Google Scholar
• HOPFIELD , J. J. , and TANK , D. W. , 1985 , Neural computation of decision in optimization problems . Biological Cybernetics , 52 , 141 – 152 .
   PubMed Web of Science ®Google Scholar
• KING , J. R. , 1980a , Machine-component group formation in group technology . |jtOMEGA|Jt, 8 , 193 – 199 .
   Google Scholar
• KING , J. R. , 1980b , Machine-component grouping in production flow analysis: an approach using a rank order clustering algorithm . International Journal of Production Research , 18 , 213 – 232 .
   Web of Science ®Google Scholar
• KING , J. R. , and NAKORNCHAI , V. , 1982 , Machine-component group formation in group technology review and extension . International Journal of Production Research , 20 , 117 – 133 .
   Web of Science ®Google Scholar
• KOHONEN , T. , 1984 , Self-organization and Associative Memory ( Berlin : Springer-Verlag ).
   Google Scholar
• KOHONEN , T. , 1988 , An Introduction to Neural Computing . Neural Networks , 1 , 3 – 16 .
   Web of Science ®Google Scholar
• KUSIAK , A. , 1987 , The generalized group technology concept . International Journal of Production Research , 25 , 561 – 569 .
   Web of Science ®Google Scholar
• KUSIAK , A. , and HERAGU , S. , 1987 , Group technology . Computer in Industry , 9 , 83 – 91 .
   Web of Science ®Google Scholar
• LIPPMANN , R. P. , 1989 , Pattern classification using neural networks . IEEE Communications Magazine , November , 47 – 64 .
   Web of Science ®Google Scholar
• LIPPMANN , R. P. , 1987 , An introduction to computing with neural nets , IEEE Acoustic, Speech and Signal Processing Magazine . April , 4 – 22 .
   Google Scholar
• MALAKOOTI , B. , 1988 , A decision support system and a heuristic interactive approach for solving discrete multiple criteria problems . IEEE Transactions On Systems. Man, and Cybernetics , 18 , 273 – 285 .
   Web of Science ®Google Scholar
• MALAKOOTI , B. , 1989 , Theories and an exact interactive paired comparison approach for discrete multiple criteria problems . IEEE Transactions on Systems, Man and Cybernetics , 19 ( 2 ), 365 – 378 .
   Google Scholar
• MALAKOOTI , B. , 1994 , Assembly line balancing with buffers by multiple criteria optimization . International Journal of Production Research , 32 ( l9 ), 2159 – 2178 .
   Google Scholar
• MALAKOOTI , B. , and DEVIPRASAD , J. , 1989 , An interactive multiple criteria approach for parameter selection in metal cutting . Operations Research , 37 ( 5 ), 805 – 818 .
   Web of Science ®Google Scholar
• MALAKOOTI , B. ,ZHOU, Y,. 1995a , An adaptive feedforward artificial neural network with application to multiple criteria decision making . Management Science , 39 , ( in press ).
   Google Scholar
• MALAKOOTI , B. , ZHOU , Y. , and TANDLER , E. C. , 1995b , In-process regressions and adaptive neural networks for monitoring and supervising machining operations , Journal of Intelligent Manufacturing , 5 , ( in press ).
   Google Scholar
• MICHAUD , P. , 1983 , Opinions aggregation In New Trends in Data Analysis and Applications , Janssen, J., Marcotorchino, F., and Proth, J. M. (eds) ( North Holland : Elsevier ).
   Google Scholar
• RUMELHART , D. E. , and ZIPSER , D. , 1985 , Feature discovery by competitive learning . Cognitive Science , 9 , 75 – 112 .
   Web of Science ®Google Scholar
• RUMELHART , D. E. , HINTON , G. , and WILLIAMS , R. , 1986 . Learning internal representations by back-propagating errors . Nature , 323 , 533 – 536 .
   Web of Science ®Google Scholar
• SANGER , T. , 1989 , Optimal unsupervised learning in a single-layer linear feedforward neural network . Neural Networks , 2 , 459 – 473 .
   Web of Science ®Google Scholar
• STEUER , R. H. , 1986 , Multiple Criteria Optimization Theory. Computation, and Application . ( New York Wiley ).
   Google Scholar
• WANG , J. , and MALAKOOTI , B. , 1992 , A feedforward neural network for multiple criteria decision making , Computers and Operations Research , 19 ( 2 ), 151 – 167 .
   Web of Science ®Google Scholar
• WAGHODEKAR , P. H. , and SAHU , S. , 1984 , Machine-component cell formation in group technology MACE. International Journal of Production Research , 22 , 937 – 948 .
   Web of Science ®Google Scholar
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   Google Scholar