Application of a Taguchi-based neural network prediction design of the film coating process for polymer blends

International Journal of Advanced Manufacturing Technology

Volumn 27, Issue 5-6, 2006, Pages 455-461

  Kuo, Chung Feng Jeffrey ^a   Wu, Yi Shiuan ^a  

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

Author keywords

Back propagation neural network (BPNN); Polymer blends; Surface roughness; Taguchi quality method

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; POLYMER BLENDS; PRODUCT DESIGN; SURFACE ROUGHNESS;

BACK-PROPAGATION NEURAL NETWORKS (BPNN); TAGUCHI QUALITY METHOD;

NEURAL NETWORKS;

EID: 28544452496     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-004-2215-3     Document Type: Article

References (19)

1. Thuenemann AF (2000) Nano-structure materials with low surface energies formed by polyelectrolytes and fluorinated amphiphiles (PEFA). Polym Int 49(7):636-644
2. Wong CP, Rao Y, Yue J (2002) Material characterization of high dielectric constant polymer-ceramic composite for embedded capacitor to RF application. Active Passive Electron Compon 25(1):123-129
3. Zhang J, Wilkie CA (2003) Preparation and flammability properties of polyethylene-clay nanocomposites. Polym Degradation Stability 80(1):163-169
4. Hansma PK, Cleveland JP, Radmacher M, Walters DA, Hillner PE, Bezanilla M, Fritz M, Vie D, Hansma HG (1994) Tapping mode atomic force microscopy in liquids. Appl Phys Lett 64(13): 1738-1740
5. Chen YH, Tam SC, Chen WL, Zheng MY (1996) Application of Taguchi method in the optimization of laser micro-engraving of photomasks. Int J Mater Prod Technol 11(3/4):333-344
6. Masters I, Khoei AR, Gethin DT (1999) The application of Taguchi method to the aluminium recycling process. In: Proceedings of the 4th ASM international conference on the recycling metals, pp 115-124
7. Lin YC, Yan BH, Huang FY (2001) Surface improvement using a combination of electrical discgarge machining with ball burnish machining based on the Taguchi method. Int J Adv Manuf Technol 18(9):673-682
8. Lin ZC, Ho CY (2003) Analysis and application of grey relation and ANOVA in chemical-mechanical polishing process parameters. Int J Adv Manuf Technol 21(1):10-14
9. de la Maza M (1991) SPLIT net: dynamically adjusting the number of hidden units in a neural network. Artificial Neural Networks 647-651
10. Lirov Y (1992) Computer aided neural network engineering. Neural Networks 5:711-719
11. Khaw JFC, Lim BS, Lim LEN (1995) Optimal design of neural networks using the Taguchi method. Neurocomputing 7:225-245
12. Packianather MS, Drake PR, Rowlands H, et al. (2000) Optimizing the parameters of multilayered feedforward neural networks through Taguchi design of experiments. Qual Reliab Eng Int 16:461-473
13. Mayer RJ, Benjamin PC (1992) Using the Taguchi paradigm for manufacturing system design using simulation experiments. Comput Ind Eng 22(2):195-209
14. Phadke MS (1989) Quality engineering using robust design. Prentice-Hall, New York
15. Taguchi G (1989) Introduction to quality engineering. Asian Productivity Organization, Tokyo
16. Taguchi G, Yokohama Y, Wu Y (1993) Design of experiments. ASI Press, Tokyo, Japan
17. Taguchi G, Konishi S (1991) Signal-to-noise ratio for quality evaluation. ASI Press, Tokyo, Japan
18. Wasserman PD (1989) Neural computing: theory and practice. Van Nostrand Reinhold, New York
19. Aleksander I, Morton H (1990) An introduction to neural computing. Chapman and Hall, London