- Tytuł:
- Comparison of Fuzzy System with Neural Aggregation FSNA with classical TSK fuzzy system in anti-collision problem of USV
- Autorzy:
- Szymak, P.
- Powiązania:
- https://bibliotekanauki.pl/articles/260160.pdf
- Data publikacji:
- 2017
- Wydawca:
- Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
- Tematy:
-
neuro-fuzzy system
neural aggregation of fuzzy rules
cooperative co-evolution
anti-collision of USV - Opis:
- 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. The paper includes an introduction to the subject, a description of the new FSNA and the tuning method CCGA-INE, and at the end, numerical research results with a summary. The research includes comparison of the FSNA with the classical TSK system in the anti-collision problem of the USV.
- Źródło:
-
Polish Maritime Research; 2017, 3; 3-14
1233-2585 - Pojawia się w:
- Polish Maritime Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł