Neural Network Models of Eddy Current Sensor (論文特集号 〔日本応用磁気学会〕第24回学術講演会)
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概要
- 論文の詳細を見る
In this paper we propose to use a dynamic neural networks as multi-frequency models of eddy current sensor. Two models are proposed: a forward model, which could be utilized as a fast solver in an inversion iterative algorithm, and an inverse model, which enable us to directly obtain an unknown flaw profile directly from the sensor output signal.
- 社団法人日本磁気学会の論文
- 2001-04-15
著者
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Chady T
Oita Industrial Research Institute
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Chady Tomasz
Oita Industrial Res. Inst. Oita Jpn
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Enokizono Masato
Oita University
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Enokizono Masato
Oita Univ. Jpn
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Enokizono Masato
Oita Univ.
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