UDC 004.93.1
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2 Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
 budnyk@meta.ua
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INFORMATION-EXTREME MACHINE LEARNING OF ON-BOARD
VEHICLE RECOGNITION SYSTEM
Abstract. The article proposes a categorical model and algorithm for information-extreme machine learning of the on-board recognition system for small ground vehicles. The decision rules constructed as a result of machine learning are invariant to an arbitrary position of the object of recognition in the frame of the region of interest.
Keywords: information and extreme intelligent technology, machine learning, information criterion of optimization, on-board recognition system, ground-based object, polar coordinate system, vehicle.
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