The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic Zone
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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2018/2367096 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832564316049506304 |
|---|---|
| author | Nelly A. Sedova Viktor A. Sedov Ruslan I. Bazhenov |
| author_facet | Nelly A. Sedova Viktor A. Sedov Ruslan I. Bazhenov |
| author_sort | Nelly A. Sedova |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-256e829f53c448758bc845cbc41cf5fe |
| institution | Kabale University |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-256e829f53c448758bc845cbc41cf5fe2025-02-03T01:11:12ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2018-01-01201810.1155/2018/23670962367096The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic ZoneNelly A. Sedova0Viktor A. Sedov1Ruslan I. Bazhenov2Department of Automatic and Information Systems, Maritime State University named after G.I. Nevelskoy, Vladivostok, RussiaDepartment of Electrician Theoretical Bases, Maritime State University named after G.I. Nevelskoy, Vladivostok, RussiaDepartment of Information Systems, Mathematics and Legal Informatics, Sholom-Aleichem Priamursky State University, Birobidzhan, RussiaThe 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.http://dx.doi.org/10.1155/2018/2367096 |
| spellingShingle | Nelly A. Sedova Viktor A. Sedov Ruslan I. Bazhenov The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic Zone Advances in Fuzzy Systems |
| title | The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic Zone |
| title_full | The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic Zone |
| title_fullStr | The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic Zone |
| title_full_unstemmed | The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic Zone |
| title_short | The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic Zone |
| title_sort | neural fuzzy approach as a way of preventing a maritime vessel accident in a heavy traffic zone |
| url | http://dx.doi.org/10.1155/2018/2367096 |
| work_keys_str_mv | AT nellyasedova theneuralfuzzyapproachasawayofpreventingamaritimevesselaccidentinaheavytrafficzone AT viktorasedov theneuralfuzzyapproachasawayofpreventingamaritimevesselaccidentinaheavytrafficzone AT ruslanibazhenov theneuralfuzzyapproachasawayofpreventingamaritimevesselaccidentinaheavytrafficzone AT nellyasedova neuralfuzzyapproachasawayofpreventingamaritimevesselaccidentinaheavytrafficzone AT viktorasedov neuralfuzzyapproachasawayofpreventingamaritimevesselaccidentinaheavytrafficzone AT ruslanibazhenov neuralfuzzyapproachasawayofpreventingamaritimevesselaccidentinaheavytrafficzone |