Presentation 2002/10/18
Optimal cording of an artificial neural network in impact-echo testing
Masaru Okada, Teppei Kamijo, Itsuo Ishikawa,
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Abstract(in English) Impact-echo testing instrument designed by artificial neural network is presented. Impact-echo signals of bottles with and without cracks on the mouth are transformed into frequency spectra, and their. intensities are compressed by considering a human's hearing character. The identifying result at the compression coefficient of 0.6 attains 98.5 percent correctly. It is observed that the judgements of cracks in the neural network are made by the relatively low intensity signals.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Impact-echo instrument / Sound-pressure compression / Digital signal processing / Neural network
Paper # EA2002-66
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Committee EA
Conference Date 2002/10/18(1days)
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Registration To Engineering Acoustics (EA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Optimal cording of an artificial neural network in impact-echo testing
Sub Title (in English)
Keyword(1) Impact-echo instrument
Keyword(2) Sound-pressure compression
Keyword(3) Digital signal processing
Keyword(4) Neural network
1st Author's Name Masaru Okada
1st Author's Affiliation Department of Electrical Engineering, Faculty of Engineering, Yamanashi University()
2nd Author's Name Teppei Kamijo
2nd Author's Affiliation Department of Electrical Engineering, Faculty of Engineering, Yamanashi University
3rd Author's Name Itsuo Ishikawa
3rd Author's Affiliation Department of Electrical Engineering, Faculty of Engineering, Yamanashi University
Date 2002/10/18
Paper # EA2002-66
Volume (vol) vol.102
Number (no) 398
Page pp.pp.-
#Pages 6
Date of Issue