Neural network algorithm for events forecasting and its application to space physics dataстатья

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[1] Neural network algorithm for events forecasting and its application to space physics data / S. A. Dolenko, Y. V. Orlov, I. G. Persiantsev, J. S. Shugai // Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005. Proceedings, Part II. — Vol. 3697 of Lecture Notes in Computer Science. — Springer-Verlag GmBh, 2005. — P. 527–532. Many practical tasks require discovering interconnections between the behavior of a complex object and 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. Recently the authors suggested a neural network based method of analysis of such objects. In this paper, the results of experiments on real-world data are presented. The method aims at revealing morphological and dynamical features causing the event or preceding its emergence. [ DOI ]

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