Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/1874
DC Field | Value | Language |
---|---|---|
dc.contributor.authorall | Romeo, G.; Istituto Nazionale di Geofisica, Roma, Italy | en |
dc.date.accessioned | 2006-12-06T11:19:05Z | en |
dc.date.available | 2006-12-06T11:19:05Z | en |
dc.date.issued | 1994-06 | en |
dc.identifier.uri | http://hdl.handle.net/2122/1874 | en |
dc.description.abstract | Pattern recognition belongs to a class of Problems which are easily solved by humans, but difficult for computers. It is sometimes difficult to formalize a problem which a human operator can casily understand by using examples. Neural networks are useful in solving this kind of problem. A neural network may, under certain conditions, simulate a well trained human operator in recognizing different types of earthquakes or in detecting the presence of a seismic event. It is then shown how a fully connected multi layer perceptron may perform a recognition task. It is shown how a self training auto associative neural network may detect an earthquake occurrence analysing the change in signal characteristics. | en |
dc.format.extent | 2988429 bytes | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | English | en |
dc.relation.ispartofseries | 3/37 (1994) | en |
dc.subject | seismology | en |
dc.subject | detection | en |
dc.subject | neural network | en |
dc.subject | auto-associative neural network | en |
dc.subject | classification | en |
dc.title | Seismic signals detection and classification using artiricial neural networks | en |
dc.type | article | en |
dc.type.QualityControl | Peer-reviewed | en |
dc.subject.INGV | 05. General::05.01. Computational geophysics::05.01.99. General or miscellaneous | en |
dc.description.journalType | JCR Journal | en |
dc.description.fulltext | open | en |
dc.contributor.author | Romeo, G. | en |
dc.contributor.department | Istituto Nazionale di Geofisica, Roma, Italy | en |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma1, Roma, Italia | - |
crisitem.author.orcid | 0000-0002-5535-7803 | - |
crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.classification.parent | 05. General | - |
Appears in Collections: | Annals of Geophysics |
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File | Description | Size | Format | |
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09 romeo.pdf | 2.92 MB | Adobe PDF | View/Open |
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