Adaptive Diagnosis Model of Dempster-Shafer Based on Recurrent Neural-Fuzzy Network

Author:

Shabelnikov Alexaner N.,Kovalev Sergey M.,V. Sukhanov Andrey

Publisher

Springer International Publishing

Reference10 articles.

1. Sukhanov, A., Kovalev, S., Stỳskala, V.: Advanced temporal-difference learning for intrusion detection. IFAC-PapersOnLine 48(4), 43–48 (2015)

2. Shabelnikov, A.N., Kovalev, S.M., Sukhanov, A.V.: Intelligent approach to emergency situations forecasting in the humping processes (intellektualnyy podkhod k prognozirovaniyu neshtatnykh situatsiy v protsesse rasformirovaniya poyezdov na sortirovochnykh gorkakh). Izvestiya YUFU. Tekhnicheskiye nauki 8 (181) (2016). (in Russian)

3. Yeung, D.Y., Ding, Y.: Host-based intrusion detection using dynamic and static behavioral models. Pattern Recognit. 36(1), 229–243 (2003)

4. Modin, N.K.: Security of hump devices functioning (bezopasnost funktsionirovaniya gorochnykh ustroystv). Transport 173 (1994). (in Russian)

5. Kovalev, S.M., Shabelnikov, A.N.: Hybrid intelligent automation systems for process control at marshalling yards (gibridnyye intellektualnyye sistemy avtomatizatsii upravleniya tekhnologicheskimi protsessami na sortirovochnykh stantsiyakh). Izv. Vuzov Sev. (4), 11 (2002). (in Russian)

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1. Fuzzy Approach to Car Retarding Adaptation on Hump Yards;Lecture Notes in Networks and Systems;2021-09-16

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