Sash sheet metal development and the application of a back-propagation neural network in the calculation of the developed length

Journal of Materials Processing Technology

Volumn 69, Issue 1-3, 1997, Pages 95-105

  Lin, Zone Ching ^a   Chang, Yung Chuan ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Back propagation; Developed length; Neural network; Sheet metal

Indexed keywords

BACKPROPAGATION; COMPUTATIONAL METHODS; COMPUTER AIDED DESIGN; MATRIX ALGEBRA; NEURAL NETWORKS;

CORRECTION FACTOR;

SHEET METAL;

EID: 0031233013     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0924-0136(97)00002-2     Document Type: Article

References (7)

1. A.Y.C. Nee, PC-based computer aides in sheet metal working, J. Mech. Work. Tech. 19 (1989) 1-12.
2. J.S. Smith, P.H. Cohen, J.W. Davies, S.A. Irani, Process plan generation for sheet metal parts using an integrated featured-based expert system, Int. J. Prod. Res. 30 (5) (1992) 1175-1190.
3. J.D. Podhajsky, A.J.C. Trappey, J.S. Lay, Development of a data structure for a featured-based sheet metal design and processing system. Sixth Natl. Conf. Auto. Tech., Taichun, Taiwan, Vol. 1, 1993, pp. 369-376.
4. D.E. Rumelhard, G.E. Hinton, R.J. Williams, Learning internal representation by error propagation. Parallel Distributed Proc. 1 (1986) 318-362.
5. V. Kasparian, C. Batur, H. Zhang, J. Padovan. Davidson least squares-based learning algorithm for feed-forward neural net-works. Neural Networks 7 (4) (1994) 661-670.
6. H. Benedikt, Improving back propagation with a new error function, Neural Networks 7 (8) (1994) 1191-1192.
7. G. Oehler, Gold narrow-beam bending, Werkstatt. V. Betr. 102 (1969) 37-41.