We discuss some rough set tools for perception modelling that have been developed in our project for a system for modelling networks of classifiers for compound concepts. Such networks make it possible to recognize behavioral patterns of objects and their parts changing over time. We present a method that we call o method for on-line elimination of non-relevant parts (ENP). This method was developed for on-line elimination of complex object parts that are irrelevant for identifying a given behavioral pattern. Some results of experiments with data from the road simulator are included. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Bazan, J. G., & Skowron, A. (2005). On-line elimination of non-relevant parts of complex objects in behavioral pattern identification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3776 LNCS, pp. 720–725). https://doi.org/10.1007/11590316_116
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