The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic Zone
Joint Authors
Sedova, Nelly A.
Sedov, Viktor A.
Bazhenov, Ruslan I.
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-15
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The paper dwells on the methodology of neural-fuzzy approach to solving the problem of ship collision prevention in a heavy traffic zone.
The authors present the technique of using maneuvering board to form the elements of learning sample.
The authors prove that it is rational to use a neural-fuzzy system, where generation is carried out by the lattice method without clustering.
The authors investigate the effect of optimization on the quality differences.
The researchers define optimal membership functions that are used to generate the input linguistic variables of a neural-fuzzy system.
American Psychological Association (APA)
Sedova, Nelly A.& Sedov, Viktor A.& Bazhenov, Ruslan I.. 2018. The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic Zone. Advances in Fuzzy Systems،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-986251
Modern Language Association (MLA)
Sedova, Nelly A.…[et al.]. The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic Zone. Advances in Fuzzy Systems No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-986251
American Medical Association (AMA)
Sedova, Nelly A.& Sedov, Viktor A.& Bazhenov, Ruslan I.. The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic Zone. Advances in Fuzzy Systems. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-986251
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-986251