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Original Articles

Understanding weld modelling processes using a combination of trained neural networks

Pages 547-559 | Published online: 14 Nov 2010

  • ANDERSEN , K. , COOK , G. E. , KARSAI , G. and RAMASWAMY , K. 1990 . Artificial neural networks applied to arc welding process modeling and control . IEEE Transactions on Industrial Applications , 26 : 824 – 830 .
  • CHEN , D. S. and JAIN , R. C. 1994 . A robust back propagation learning algorithm for function approximation . IEEE Transactions on Neural Networks , 5 : 467 – 479 .
  • COOK , G. E. , BARNETT , R. J. , ANDERSEN , K. and STRAUSS , A. M. 1995 . Weld modeling and control using artificial neural networks control . IEEE Transactions on Industrial Applications , 31 : 1484 – 1491 .
  • HASHEM , S. and SCHMEISER , B. 1995 . Improving model accuracy using optimal linear combinations of trained neural networks . IEEE Transactions on Neural Networks , 6 : 792 – 794 .
  • KHOTANZAD , A. , ELRAGAL , H. and LU , T.-L. 2000 . Combination of artificial neural network forecasters for prediction of natural gas consumption . IEEE Transactions on Neural Networks , 11 : 464 – 473 .
  • LIN , S. C. and TING , C. J. 1996 . Drill wear monitoring using neural networks . International Journal of Machine Tools and Manufacture , 36 : 465 – 475 .
  • PERRONE , M. P. and COOPER , L. N. 1993 . “ When networks disagree: ensemble methods of hybrid neural networks ” . In Neural Networks Speech Image Processing , Edited by: Mammone , R. J. London : Chapman & Hall .
  • PRASAD YARLAGADDA , K. D. V. 2000 . Prediction of diecasting process parameters by using an Artificial neural network model for Zinc alloys . International Journal of Production Research , 38 : 119 – 139 .
  • PURUSHOTHAMAN , S. and SRINIVASA , Y. G. 1998 . A Procedure for training artificial neural network with application to tool wear monitoring . International Journal of Production Research , 36 : 635 – 651 .
  • SUNG , C. S. and CHOUNG , Y. I. 1999 . A neural network for batching decisions in wafer fabrication . International Journal of Production Research , 37 : 3101 – 3114 .
  • TWOMEY , J. M. and SMITH , A. E. 1998 . Bias and variance of validation methods for function approximation neural networks under conditions of sparse data . IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews , 28 : 417 – 430 .

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