{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T05:41:21Z","timestamp":1770702081826,"version":"3.49.0"},"reference-count":28,"publisher":"World Scientific Pub Co Pte Lt","issue":"05","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[2003,10]]},"abstract":"<jats:p> This work investigates the nonlinear predictability of the Electro Telluric Field (ETF) variations data in order to develop new intelligent tools for the difficult task of earthquake prediction. Support Vector Machines trained on a signal window have been used to predict the next sample. We observe a significant increase at this short-term unpredictability of the ETF signal at about two weeks time period before the major earthquakes that took place in regions near the recording devices. The unpredictability increase can be attributed to a quick time variation of the dynamics that produce the ETF signal due to the earthquake generation process. Thus, this increase can be taken into advantage for signaling for an increased possibility of a large earthquake within the next few days in the neighboring region of the recording station. <\/jats:p>","DOI":"10.1142\/s0129065703001674","type":"journal-article","created":{"date-parts":[[2003,11,24]],"date-time":"2003-11-24T04:26:19Z","timestamp":1069647979000},"page":"315-332","source":"Crossref","is-referenced-by-count":2,"title":["THE NONLINEAR PREDICTABILITY OF THE ELECTROTELLURIC FIELD VARIATIONS DATA ANALYZED WITH SUPPORT VECTOR MACHINES AS AN EARTHQUAKE PRECURSOR"],"prefix":"10.1142","volume":"13","author":[{"given":"A.","family":"IFANTIS","sequence":"first","affiliation":[{"name":"Technological Educational Institute of Patras, Department of Electrical Engineering, 26334 Patras, Greece"},{"name":"University of Patras, Department of Geology, Seismological Laboratory, 26500 Patras, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"PAPADIMITRIOU","sequence":"additional","affiliation":[{"name":"Technological Educational Institute of Kavala, Department of Information Management, 65404 Kavala, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1016\/0040-1951(93)90059-S"},{"key":"rf2","first-page":"830","volume":"30","author":"Moroz Y.","journal-title":"Phys. Solid Earth"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1016\/0040-1951(77)90054-3"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1029\/96GL01477"},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.1007\/BF01592913"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1016\/0040-1951(72)90077-7"},{"key":"rf8","first-page":"337","volume":"41","author":"Ifantis A.","journal-title":"Acta Geophysica Polonica"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1016\/0040-1951(86)90172-1"},{"key":"rf10","first-page":"341","volume":"138","author":"Meyer K.","journal-title":"Tectonophysics"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1016\/0040-1951(84)90059-3"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1785\/gssrl.71.4.423"},{"key":"rf14","unstructured":"P.\u00a0Bartlett and J. S.Taylor\u00a01999, Advances in Kernel Methods, Support Vector Learning (The MIT Press)\u00a0pp. 43\u201355."},{"key":"rf15","first-page":"1","volume":"20","author":"Cortes C.","journal-title":"Machine Learning"},{"key":"rf16","volume-title":"Neural Networks","author":"Haykin S.","year":"1999"},{"key":"rf17","volume-title":"Advances in Kernel Methods \u2014 Support Vector Learning","author":"Joachims T.","year":"1998"},{"key":"rf18","unstructured":"D.\u00a0Mattera and S.\u00a0Haykin, Advances in Kernel Methods \u2014 Support Vector Learning, eds. B.\u00a0Scholkopf, J.\u00a0Burges and A. J.\u00a0Smola (MIT Press, Cambridge, MA, 1999)\u00a0pp. 211\u2013242."},{"key":"rf20","volume":"10","author":"Scholkopf B.","journal-title":"IEEE Trans. Neural Networks"},{"key":"rf21","doi-asserted-by":"publisher","DOI":"10.1109\/72.788640"},{"key":"rf22","series-title":"Lecture Notes in Mathematics","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1007\/BFb0091924","volume":"898","author":"Takens F.","year":"1981"},{"key":"rf23","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-3360-3"},{"key":"rf24","volume-title":"Chaos in Dynamical Systems","author":"Ott E.","year":"1993"},{"key":"rf25","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-0763-4"},{"key":"rf26","doi-asserted-by":"publisher","DOI":"10.1007\/BF01053745"},{"key":"rf27","doi-asserted-by":"publisher","DOI":"10.1142\/S0218127499000109"},{"key":"rf28","doi-asserted-by":"publisher","DOI":"10.1016\/S0933-3657(98)00055-4"},{"key":"rf29","volume-title":"Learning with Kernels: Support Vector Machines, Regularization and Beyond","author":"Scholkopf B.","year":"2002"},{"key":"rf30","first-page":"1207","author":"Scholkopf B.","journal-title":"Neural Computation"},{"key":"rf31","volume":"9","author":"Petridis V.","journal-title":"IEEE Trans. Neural Networks"}],"container-title":["International Journal of Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129065703001674","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T12:35:35Z","timestamp":1565181335000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065703001674"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,10]]},"references-count":28,"journal-issue":{"issue":"05","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2003,10]]}},"alternative-id":["10.1142\/S0129065703001674"],"URL":"https:\/\/doi.org\/10.1142\/s0129065703001674","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"value":"0129-0657","type":"print"},{"value":"1793-6462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2003,10]]}}}