Manufacturing features recognition using backpropagation neural networks

Journal of Intelligent Manufacturing

Volumn 10, Issue 3, 1999, Pages 289-299

  Onwubolu, Godfrey C ^a  

^a NATIONAL UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Zimbabwe)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; COMPUTATIONAL COMPLEXITY; DECISION SUPPORT SYSTEMS; FACTORY AUTOMATION; FEATURE EXTRACTION; MATHEMATICAL MODELS; NEURAL NETWORKS; PROCESS ENGINEERING; PRODUCT DEVELOPMENT; STRATEGIC PLANNING;

BACKPROPAGATION NEURAL NETWORKS (BPN); BOUNDARY REPRESENTATION PROCESS;

COMPUTER INTEGRATED MANUFACTURING;

EID: 0032598808     PISSN: 09565515     EISSN: None     Source Type: Journal    
DOI: 10.1023/a:1008904109029     Document Type: Article

References (29)

1. Allada, V. (1994) Feature-based modeling for concurrent engineering, PhD Thesis, University of Cincinnati, Cincinnnati, Ohio.
2. Allada, V. and Anand, S. (1997) Machine understanding of manufacturing features. International Journal of Production Research, 34(7), 1791-1809.
3. Bond, A. H. and Jain, R. (1988) A formal definition and automatic extraction of group technology codes. Proceedings of the ASME International Computers in Engineering Conference, California 1, 537-542.
4. Choi, B. K. (1982) CAD/CAM compatible tool oriented process planning for machining centres, PhD Thesis, Purdue University, Indiana.
5. Chuang, S. H. and Henderson, M. R. (1990) Three-dimensional shape pattern recognition using vertex classification and vertex-edge graphs. Computer Aided Design, 22, 377-387.
6. Corney, J. and Clark, D. E. R. (1991) Method for finding holes and pockets that connect multiple faces in 21/2-D objects. Computer Aided Design, 23, 658-668.
7. Falcidieno, B. and Giannimi, F. (1989) Automatic recognition and representation of shape-based features in a geometric modeling system. Journal of Computer Vision, Graphics and Image Processing, 48, 93-123.
8. Gadh, R. and Prinz, F. B. (1992) Recognition of geometric forms using the differential depth filter. Computer Aided Design, 24, 583-598.
9. Gavankar, P. and Henderson, M. R. (1990) Graph-based extraction of protrusion and depressions from boundary representations. Computer Aided Design, 22, 442-450.
10. Herbert, P. J., Hinde, C. J., Bray, A. D., Launders, V. A., Round, D. and Temple, D. M. (1990) Feature recognition within a truth maintained process planning system. International Journal of Computer Integrated Manufacturing, 3, 121-132.
11. Henderson, M. R. (1984) Extraction of feature information from three dimensional CAD data, PhD Thesis, Purdue University, Indiana.
12. Huang, S. H. and Zhang, H. -C. (1994) Artificial neural networks in manufacturing: concepts, applications and perspectives. IEEE Transactions on Components, Packaging and Manufacturing Technology - Part A, 17(2), 212-228.
13. Hwang, J. (1988) Rule-based feature recognition: concepts, primitives and implementation, MS Thesis, Arizona State University.
14. Hwang, J.-L. and Henderson, M. R. (1992) Applying the perception to three-dimensional feature recognition. Journal of Design and Manufacturing, 2(4), 187-198.
15. Jakubowski, R. (1982) Syntatic characterization of machine parts shapes. Cybernetics and Systems, 13, 1-24.
16. Joshi, S. (1990) Feature recognition and geometric reasoning for some process planning activities, in Geometric Modeling for Product Engineering, Wozny, M. J., Turner, J. U., and Preiss, K. (eds.), Elsevier, Amsterdam, 363-384.
17. Joshi, S. and Chang, T. C. (1988) Graph-based heuristics for recognition of machined features from a 3D solid model. Computer Aided Design, 20(2), 58-66.
18. Kung, H. (1984) An investigation into development of process plans from solid geometric modeling representation, PhD Thesis, Oklahoma State University.
19. Kyprianou, L. K. (1980) Shape classification in computer aided design, PhD Thesis, University of Cambridge, UK.
20. Lentz, D. H. and Sowerby, R. (1993) Feature extraction of concave and convex regions and their intersections. Computer Aided Design, 25, 421-437.
21. Liu, R. C. and Srinivasan, R. (1984) Generative process planning using syntactic pattern recognition. Computers in Mechanical Engineering, 2, 63-66.
22. Nnaji, B. O., Kang, T. S., Yeh, S. and Chen, J. P. (1991) Feature reasoning for sheet meet components. International Journal of Production Research, 29, 1867-1896.
23. Prabhakar, S. and Henderson, M. R. (1992) Automatic form-feature recognition using neural network based techniques on boundary representations of solid models. Computer Aided Design, 24, 381-393.
24. Rumelhart, D. E., Hinton, G. E. and Williams, R. J. (1986) Learning internal representations by error propagation. In Parallel Distributed Processing: Explorations in the Microstructure of Cognition, 1, Foundations, MIT Press, Cambridge, MA, 318-362.
25. Sakurai, H. and Gossard, D. C. (1988) Shape feature recognition from 3D solid models. Proceedings of the ASME International Computers in Engineering Conference, California, I, 515-519.
26. Stanley, S. M., Henderson, M. R. and Anderson, D. C. (1983) Using syntactic pattern recognition to extract feature information from a solid modeling data base. Computers in Mechanical Engineering, 2, 61-65.
27. Vanderbrande, J. (1990) Automatic recognition of machinable features in solid models, PhD Thesis, University of Rochester.
28. Vanderbrande, J. and Requicha, A. A. G. (1990) Spatial reasoning for automatic recognition of interacting form features. Proceedings of the ASME International Computers in Engineering Conference, Boston, MA 251-256.
29. Woo, T. C. (1982) Feature extraction by volume decomposition. Proceedings of the Conference on CAD/CAM in Mechanical Engineering, MIT, Cambridge, MA.