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Data Fusion Algorithm in Intelligent Distributed Sensor Networks
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Data Fusion Algorithm in Intelligent Distributed Sensor Networks / A. Sachenko [and etc.] // International Conference on Neural Networks and Artificial Intelligence ICNNAІ'99 = Международная конференция по нейронным сетям и искусственному интеллекту ICNNAІ'99 : Proceedings, Brest, Belarus, 12–15 October 1999 / Brest Polytechnic Institute, Department of Computers and Laboratory of Artificial Neural Networks, Belarus Special Interest Group of International Neural NetWork Society, International Neural NetWork Society, Belarusian State University of Informatics and Radioelectronics (Belarus), Belarusian Academy of Sciences, Institute of Engineering Cybemetics (Belarus), Universidad Politechnica de Valencia (Spain), Institute of Computer Information Technologies (Ukraine, Ternopil) ; ed. V. Golovko. – Brest : BPI, 1999. – Р. 136–141.Abstract
The offered data fusion algorithm is based on the averaging information received from reasonable sensors, whose readings always contain errors. The decision can be appliedfor receiving the most correct result about the object condition that is determined by set of various physical measures (coordinate, height, speed, temperature, etc.) in a space, defensive industry and measuring engineering.
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