DocumentCode
2124781
Title
Using neural-evolutionary-fuzzy algorithm for anti-collision system of Unmanned Surface Vehicle
Author
Szymak, Piotr ; Praczyk, Tomasz
Author_Institution
Inst. of Electr. Eng. & Automatics, Gdynia, Poland
fYear
2012
fDate
27-30 Aug. 2012
Firstpage
286
Lastpage
290
Abstract
The paper presents conception of research whose the main goal is to build an anti-collision system of Unmanned Surface Vehicle USV. To build the system, neural-evolutionary-fuzzy algorithm is proposed. In the introduction, Unmanned Surface Vehicle USV called edredon is presented. In the next section, the main idea of the system is described. Then, a way of constructing the neural-evolutionary-fuzzy system is inserted. In the end, the results of initial research and plan of future research are presented.
Keywords
collision avoidance; evolutionary computation; fuzzy systems; neural nets; remotely operated vehicles; anticollision system; edredon; neural evolutionary fuzzy algorithm; neural evolutionary fuzzy system; unmanned surface vehicle; Biological cells; Encoding; Fuzzy sets; Fuzzy systems; Neural networks; Sociology; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Methods and Models in Automation and Robotics (MMAR), 2012 17th International Conference on
Conference_Location
Miedzyzdrojie
Print_ISBN
978-1-4673-2121-1
Type
conf
DOI
10.1109/MMAR.2012.6347873
Filename
6347873
Link To Document