掲載雑誌（和）：
岩盤力学に関するシンポジウム講演論文集
Vol：
23巻
年：
1991年
頁：
36-40頁
著者（和）：
京極 孝子， 平井 光之， 蓮井 昭則
タイトル（和）：
弾性波探査におけるニューラルネットワークを用いた波形処理について
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抄録（和）：
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キーワード（和）：
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掲載雑誌（英）：
PROCEEDINGS OF THE SYMPOSIUM ON ROCK MECHANICS
著者（英）：
Takako KYOUGOKU, Mitsuyuki HIRAI, Akinori HASUI
タイトル（英）：
WAVEFORM DATA PROCESSING BY NEURAL NETWORK ON SEISMIC SURVEY
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抄録（英）：
On waveform data processing, it is important to discriminate useful data from noises. However, in much noisy condition, that is too difficult. For example, to detect P-wave arrivaltime analytically in such condition usually results in error. In this report as on of the method to make good use of expert's judgment, the applicability of neural network to above problem was investigated. As a result, it was proved that neural network could recognize the intensity of signals and pick up P-wave arrival point. We think that neural network is useful to process waveform data.
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キーワード（英）：
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記事区分：
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区分
委員会論文集