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dc.contributor.authorChen, Kai-Juen_US
dc.contributor.authorHuang, Kou-Yuanen_US
dc.date.accessioned2014-12-08T15:15:10Z-
dc.date.available2014-12-08T15:15:10Z-
dc.date.issued2007en_US
dc.identifier.isbn978-1-4244-1379-9en_US
dc.identifier.issn1098-7576en_US
dc.identifier.urihttp://hdl.handle.net/11536/11401-
dc.identifier.urihttp://dx.doi.org/10.1109/IJCNN.2007.4371003en_US
dc.description.abstractSimulated annealing algorithm is adopted to detect the parameters of lines, circles, ellipses, and hyperbolic patterns. We define the distance from a point to a pattern such that the detection becomes feasible, especially in hyperbola. The proposed simulated annealing parameter detection system has the capability to find a set of parameter vectors with global minimal error to the input data. Using average minimum distance, we propose a method to determine the number of patterns automatically. Experiments on the detection of lines, circles, ellipses, and hyperbolas in images are quite successful. The detection system is also applied to detect the line pattern of direct wave and the hyperbolic pattern of reflection wave in the simulated one-shot seismogram. The results are good and can improve seismic interpretations and further seismic data processing.en_US
dc.language.isoen_USen_US
dc.titleSimulated annealing for pattern detection and seismic applicationen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/IJCNN.2007.4371003en_US
dc.identifier.journal2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6en_US
dc.citation.spage477en_US
dc.citation.epage482en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000254291100083-
Appears in Collections:Conferences Paper


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