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

Autor:	Szymak Piotr
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	neuro-fuzzy system neural aggregation of fuzzy rules cooperative co-evolution anti-collision of usv Naval architecture. Shipbuilding. Marine engineering VM1-989
Zdroj:	Polish Maritime Research, Vol 24, Iss 3, Pp 3-14 (2017)
Druh dokumentu:	article
ISSN:	2083-7429
DOI:	10.1515/pomr-2017-0085
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/71503e422303482ba5a253733d6daf2f Zobrazit plný text záznamu View record in DOAJ