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A neural network algorithm for the prediction of events in multidimensional time series and its application to the analysis of data in cosmic physics
Many practical problems are related to the search for interconnections between the behavior of complex objects and relatively rare events caused by this behavior or correlated with it. In such cases, it can be assumed that the occurrence of each event is preceded by some phenomenon, i.e., a combinat...
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| Published in: | Pattern recognition and image analysis 2006-01, Vol.16 (1), p.79-81 |
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| Main Authors: | , , , |
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| cites | cdi_FETCH-LOGICAL-c219t-75dad6c28022c88f69aea58ccf2d09ae7b9fac0e6c69fd1af38f008f9bc87d913 |
| container_end_page | 81 |
| container_issue | 1 |
| container_start_page | 79 |
| container_title | Pattern recognition and image analysis |
| container_volume | 16 |
| creator | Shugai, Ju. S. Dolenko, S. A. Persiantsev, I. G. Orlov, Yu. V. |
| description | Many practical problems are related to the search for interconnections between the behavior of complex objects and relatively rare events caused by this behavior or correlated with it. In such cases, it can be assumed that the occurrence of each event is preceded by some phenomenon, i.e., a combination of values of the features describing the object under consideration in a known range of time delays. This work continues the investigation of the neural-network based method for analyzing such objects developed by authors elsewhere. The method aims at revealing morphological and dynamical features that cause the event or precede its occurrence.[PUBLICATION ABSTRACT] |
| doi_str_mv | 10.1134/S1054661806010251 |
| format | article |
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| ispartof | Pattern recognition and image analysis, 2006-01, Vol.16 (1), p.79-81 |
| issn | 1054-6618 1555-6212 |
| language | eng |
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| source | ABI/INFORM Global; Springer Nature |
| subjects | Algorithms Correlation Image analysis Interconnections Neural networks Pattern recognition Studies Time delay Time series |
| title | A neural network algorithm for the prediction of events in multidimensional time series and its application to the analysis of data in cosmic physics |
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