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International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)
Xie Yi
Xie Yi
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ASME Press
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A tool-condition-monitoring (TCM) system measures the operation of a machine tool so that any deviation from nominal operating conditions can be identified and hence appropriate correction procedures can be applied. This capability enables the production of precision, quality and consistent parts. This paper presents a methodology that combines and optimizes the abilities of genetic algorithms (GA) and the prediction characteristics of support vectors machine (SVM). The drive behind this work is to have a system with a fast running and training time besides its ability to handle large amount of unprocessed data.

Key Words
1. Introduction
2. Earlier Attempts to Combine GA with SVM
3. Methodology
4. Experimental Results
5. Summaries
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