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OPTIMAL ROUTE DEFINITION IN THE RAILWAY INFORMATION NETWORK USING NEURAL-FUZZY MODELS
Author(s) -
Victoria Pakhomova,
Y. S. Mandybura
Publication year - 2019
Publication title -
science and transport progress
Language(s) - English
Resource type - Journals
eISSN - 2307-6666
pISSN - 2307-3489
DOI - 10.15802/stp2019/184385
Subject(s) - computer science , network packet , artificial neural network , computer network , routing protocol , matlab , routing (electronic design automation) , fuzzy logic , real time computing , artificial intelligence , operating system

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