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...

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Bibliographic Details
Main Author: Szymak Piotr
Format: Article
Language:English
Published: Sciendo 2017-09-01
Series:Polish Maritime Research
Subjects:
Online Access:https://doi.org/10.1515/pomr-2017-0085