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A Monitoring System of Drill Wear States using a Hybrid Neural Network

Citation

Kiatcharoenpol, T and Karri, V, A Monitoring System of Drill Wear States using a Hybrid Neural Network, Proceedings of The 11th International Manufacturing Conference: Advances in Materials Maufacturing Science and Technology, 18-20 September, 2004, Jinan, China, pp. 697-701. ISBN 0-87849-956-3 (2004) [Refereed Conference Paper]

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Neural, Evolutionary and Fuzzy Computation
Objective Division:Manufacturing
Objective Group:Fabricated Metal Products
Objective Field:Coated Metal and Metal-Coated Products
Author:Kiatcharoenpol, T (Mr Tossapol Kiatcharoenpol)
Author:Karri, V (Associate Professor Vishy Karri)
ID Code:31069
Year Published:2004
Deposited By:Engineering
Deposited On:2004-08-01
Last Modified:2005-04-08
Downloads:0

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