• Proceedings of the SAREK Conference
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• 2004.11a
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• pp.120-120
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• 2004

• Proceedings of the SAREK Conference
• /
• 2005.06a
• /
• pp.86-86
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• 2005

• Proceedings of the Korean Society of Life Science Conference
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• 2001.09a
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• pp.41-41
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• 2001

• Proceedings of the Korean Society of Life Science Conference
• /
• 2001.09a
• /
• pp.43-43
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• 2001

• 한국수산학회:학술대회논문집
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• 2005.05a
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• pp.194-195
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• 2005

• Proceedings of the SAREK Conference
• /
• 2005.06a
• /
• pp.57-57
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• 2005

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.10a
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• pp.642-646
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• 2000

The use of neural-fuzzy system to model mesh seam welding is described in this paper. Conventional, automated process generally involves sophisticated sensing and control techniques applied to various processing parameters. Welding parameters affecting quality include the arc voltage, the welding current torch travel speed and the pressure and so on. The relationship between the welding parameters and weld quality is not a direct one, md' in addition, the effect of the weld parameter variables are not independent of the each other. The effectiveness of the proposed neuro-fuzzy algorithms is demonstrated by computer simulations.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.09a
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• pp.424-425
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• 2005

• Proceedings of the Korean Society of Embryo Transfer Conference
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• 2003.10a
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• pp.72-72
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• 2003

• Proceedings of the Korean Society of Embryo Transfer Conference
• /
• 2003.10a
• /
• pp.73-73
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• 2003