@techreport{oai:ipsj.ixsq.nii.ac.jp:00033481,
 author = {Kyoko, Fukuda and Mika, Koganeyama and Hayaru, Shouno and Toshiyasu, Nagao and Kazuki, Joe and Kyoko, Fukuda and Mika, Koganeyama and Hayaru, Shouno and Toshiyasu, Nagao and Kazuki, Joe},
 issue = {63(2001-MPS-035)},
 month = {Jun},
 note = {Aiming at short-term prediction of earthquakes  we have proposed the use of neural networks for analyzing telluric current data observed by the VAN method. We have already tried a telluric current data analysis method with Learning Vector Quantization. In this paper  we will show preliminary experimental results for categorization of telluric current data by its frequency for the Izu islands earthquakes in Japan., Aiming at short-term prediction of earthquakes, we have proposed the use of neural networks for analyzing telluric current data observed by the VAN method. We have already tried a telluric current data analysis method with Learning Vector Quantization. In this paper, we will show preliminary experimental results for categorization of telluric current data by its frequency for the Izu islands earthquakes in Japan.},
 title = {Detecting Seismic Electric Signals by LVQ Based Clustering},
 year = {2001}
}