Automated process parameter resetting for injection moulding: A fuzzy-neuro approach

Journal of Intelligent Manufacturing

Volumn 9, Issue 1, 1998, Pages 17-27

  He, W ^a   Zhang, Y F ^a   Lee, K S ^a   Fuh, J Y H ^a   Nee, A Y C ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Back propagation neural networks; Fuzzy sets; Injection moulding; Moulding defects; Process parameter

Indexed keywords

BACKPROPAGATION; COMPUTER AIDED MANUFACTURING; FACTORY AUTOMATION; FUZZY SETS; NEURAL NETWORKS; PARAMETER ESTIMATION; PLASTICS MOLDING; PROCESS CONTROL;

MOLDING DEFECTS; PROCESS PARAMETERS;

INJECTION MOLDING;

EID: 0031998855     PISSN: 09565515     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008843207417     Document Type: Article

References (11)

1. Beale, R. and Jackson, T. (1990) Neural Computing: an Introduction, Adam Hilger.
2. Choi, G. H., Lee, K. D., Chang, N. and Kim, S. G. (1994) Optimization of process parameters of injection molding with neural network application in a process simulation environment. Annals of the CIRP, 43(1), 449-452.
3. Gupta, M. M. and Rao, D. H. (1994) On the principles of fuzzy neural networks. Fuzzy Sets and Systems, 610, 1-18.
4. Inaba, Y., Sakakibara, S., Taira, T., Nagaya, M., Watanabe, H., Ageishi, Y., Hamatani, K. and Sensui, Y. (1991) Expert system for injection molding machine to support stable condition during long time production, in Artificial Intelligence in the Pacific Rim. Proceedings of the Pacific Rim International Conference on Artificial Intelligence, Ohmsha, Tokyo, Japan, pp. 909-914.
5. Jan, T. C. and O'Brien, K. T. (1993) A user-friendly, interactive expert system for the injection moulding of engineering thermoplastics. International Journal of Advanced Manufacturing Technology, 8, 42-51.
6. Lotfi, A. and Tsoi, A. C. (1996) Learning fuzzy inference systems using an adaptive membership scheme. IEEE Transactions on Systems, Man, and Cybernetics, 26(2), 326-331.
7. Khanna, T. (1990) Foundations of Neural Networks, Addison-Wesley.
8. Murata, N., Yoshizawa, S. and Amari, S. (1994) Network information criterion - determining the number of hidden units for an artificial neural network model. IEEE Transactions on Neural Networks, 5(6), 865-872.
9. Pandelidis, I. O. and Kao, J.-F. (1990) DETECTOR: a knowledge-based system for injection molding diagnostics. Journal of Intelligent Manufacturing, 1, 49-58.
10. The Math Works Inc. (1993) Neural Network Toolbox for use with MATLAB, MA, USA.
11. Zadeh, L. A. (1973) Outline of a new approach to the analysis of complex systems and decision processes. IEEE Transactions on Systems, Man, and Cybernetics, 3(1), 28-44.