  The aim of this work is to create a new catalog of reliable AGN candidates
selected from the AKARI NEP-Deep field. Selection of the AGN candidates was
done by applying a fuzzy SVM algorithm, which allows to incorporate measurement
uncertainties into the classification process. The training dataset was based
on the spectroscopic data available for selected objects in the NEP-Deep and
NEP-Wide fields. The generalization sample was based on the AKARI NEP-Deep
field data including objects without optical counterparts and making use of the
infrared information only. A high quality catalog of previously unclassified
275 AGN candidates was prepared.
