Application of Neural Network to Visual Inspection of Weld Bead(Physics, Process, Instruments & Measurements)
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概要
- 論文の詳細を見る
An example of application of neural network is introduced. The back propagation (BP) model is applied to the weld bead visual inspection. The bead shape data are divided into three categories. The network weight data are formed through the learning process for each category. It is shown that the discrimination between the sound bead and the defect bead can be done properly if the selection of the network parameters and the learning process are made suitably.
- 大阪大学の論文
著者
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Yi N
National Personnel Authority Talent Flow Center Chn
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Yi Na
Osaka University:national Personnel Authority Talent Flow Center
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INOUE Katsunori
Osaka University
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YI Na
Osaka University:Beijing Research Institute of Material and Technology
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