350 rub
Journal Achievements of Modern Radioelectronics №9 for 2013 г.
Article in number:
The probabilistic model for decision-making in the intelligent detection and identification system
Keywords: index terms: identification classification detection intelligent systems
Authors:
A.V. Avramov - Ph. D. (Eng), Assosiate Professor, Head of Depaetment, Air Force Academy named after Professor N.E. Zhukovsky and Yu.A. Gagarin (Voronezh)
Abstract:
The article is devoted to description of the probabilistic model for decision-making in onboard intelligent detection and identification systems of avionics complexes. The proposed model is based on Bayes - decision analysis for uncertainty of a priori information on the object. The presented three-level probabilistic algorithm for decision-making implements training and self-training procedures under a priori operation uncertainty. Self-training process is implemented on the basis of simultaneous estimation of both information and associated objects - parameters similar to adaptation algorithms implementation. Training process ("teacher-s" training) involves representation of a training sample to the system for the purposes of configuring the latter using the decisions that have already been made. The proposed probabilistic model might provide a basis for development of intelligent systems of present-day onboard equipment complexes.
Pages: 37-44
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