Comparison of Fuzzy System with Neural Aggregation FSNA with Classical TSK Fuzzy System in Anti-Collision Problem of USV

Comparison of Fuzzy System with Neural Aggregation FSNA with Classical TSK Fuzzy System in Anti-Collision Problem of USV

The paper presents the research whose the main goal was to compare a new Fuzzy System with Neural Aggregation of fuzzy rules FSNA with a classical Takagi-Sugeno-Kanga TSK fuzzy system in an anti-collision problem of Unmanned Surface Vehicle USV. Both systems the FSNA and the TSK were learned by mean...

Full description

Bibliographic Details
Main Author: Szymak Piotr
Format: Article
Language:English
Published: Sciendo 2017-09-01
Series:Polish Maritime Research
Subjects:
neuro-fuzzy system
neural aggregation of fuzzy rules
cooperative co-evolution
anti-collision of usv
Online Access:https://doi.org/10.1515/pomr-2017-0085
id doaj-71503e422303482ba5a253733d6daf2f
record_format Article
spelling doaj-71503e422303482ba5a253733d6daf2f2021-09-05T13:59:50ZengSciendoPolish Maritime Research2083-74292017-09-0124331410.1515/pomr-2017-0085pomr-2017-0085Comparison of Fuzzy System with Neural Aggregation FSNA with Classical TSK Fuzzy System in Anti-Collision Problem of USVSzymak Piotr0Polish Naval Academy, PolandThe paper presents the research whose the main goal was to compare a new Fuzzy System with Neural Aggregation of fuzzy rules FSNA with a classical Takagi-Sugeno-Kanga TSK fuzzy system in an anti-collision problem of Unmanned Surface Vehicle USV. Both systems the FSNA and the TSK were learned by means of Cooperative Co-evolutionary Genetic Algorithm with Indirect Neural Encoding CCGA-INE.https://doi.org/10.1515/pomr-2017-0085neuro-fuzzy systemneural aggregation of fuzzy rulescooperative co-evolutionanti-collision of usv
collection DOAJ
language English
format Article
sources DOAJ
author Szymak Piotr
spellingShingle Szymak Piotr
Comparison of Fuzzy System with Neural Aggregation FSNA with Classical TSK Fuzzy System in Anti-Collision Problem of USV
Polish Maritime Research
neuro-fuzzy system
neural aggregation of fuzzy rules
cooperative co-evolution
anti-collision of usv
author_facet Szymak Piotr
author_sort Szymak Piotr
title Comparison of Fuzzy System with Neural Aggregation FSNA with Classical TSK Fuzzy System in Anti-Collision Problem of USV
title_short Comparison of Fuzzy System with Neural Aggregation FSNA with Classical TSK Fuzzy System in Anti-Collision Problem of USV
title_full Comparison of Fuzzy System with Neural Aggregation FSNA with Classical TSK Fuzzy System in Anti-Collision Problem of USV
title_fullStr Comparison of Fuzzy System with Neural Aggregation FSNA with Classical TSK Fuzzy System in Anti-Collision Problem of USV
title_full_unstemmed Comparison of Fuzzy System with Neural Aggregation FSNA with Classical TSK Fuzzy System in Anti-Collision Problem of USV
title_sort comparison of fuzzy system with neural aggregation fsna with classical tsk fuzzy system in anti-collision problem of usv
publisher Sciendo
series Polish Maritime Research
issn 2083-7429
publishDate 2017-09-01
description The paper presents the research whose the main goal was to compare a new Fuzzy System with Neural Aggregation of fuzzy rules FSNA with a classical Takagi-Sugeno-Kanga TSK fuzzy system in an anti-collision problem of Unmanned Surface Vehicle USV. Both systems the FSNA and the TSK were learned by means of Cooperative Co-evolutionary Genetic Algorithm with Indirect Neural Encoding CCGA-INE.
topic neuro-fuzzy system
neural aggregation of fuzzy rules
cooperative co-evolution
anti-collision of usv
url https://doi.org/10.1515/pomr-2017-0085
work_keys_str_mv AT szymakpiotr comparisonoffuzzysystemwithneuralaggregationfsnawithclassicaltskfuzzysysteminanticollisionproblemofusv
_version_ 1717812948133478400

Similar Items