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The epochs of neuro-fuzzy networks to determine the degree of ships collision risk

Sedov V. A.  (Maritime State University named after G.I. Nevelskoi (Vladivostok))

Sedova N. A.  (Maritime State University named after G.I. Nevelskoi (Vladivostok))

Egorov A. A.  (Maritime State University named after G.I. Nevelskoi (Vladivostok))

The results for finding the smallest of learning epochs of neuro-fuzzy networks to determine the degree of ships collision risk in the zone of excessive approach are detailed in this paper.

Keywords:neuro-fuzzy network, adaptive neuro-fuzzy inference system, training sample, standard deviation, learning epoch.

 

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Citation link:
Sedov V. A., Sedova N. A., Egorov A. A. The epochs of neuro-fuzzy networks to determine the degree of ships collision risk // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2015. -№01-02. -С. 53-56
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