Neural network algorithm for events forecasting in multi-dimensional time series and its application for analysis of data in space physicsстатья

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[1] Neural network algorithm for events forecasting in multi-dimensional time series and its application for analysis of data in space physics / J. S. Shugai, S. A. Dolenko, I. G. Persiantsev, Y. V. Orlov // 7th International Conference on Pattern Recognition and Image Analysis: New Information Technologies (PRIA-7-2004), St.Petersburgh, Conference Proceedings. — Vol. 3. — St.Petersburgh, Russia, 2004. — P. 908–911. Many practical tasks are connected with search of interconnections between the behavior of a complex object and relatively rare events, initiated by this behavior or correlating with it. In such cases it is supposed that emergence of an event is preceded by some phenomenon – a combination of values of the features describing the object, in a known range of time delays. In this study, the authors continue the investigation of a neural network based method of analysis of such objects, that they suggested before. The method aims at revealing morphological and dynamical features causing the event or preceding its emergence.

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