Аннотация: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.