Case Learning Base on Evaluation System for Vessel Collision Avoidance

Author

Liu, Yu-hong ; Liu, Hong-xia

Author_Institution

Merchant Marine Coll., Shanghai Maritime Univ.

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

2064

Lastpage

2069

Abstract

A learning method by recording cases based on an evaluation system for vessel collision avoidance is presented in this paper. The frame model is selected and defined as the case representation method. The basic structure and several processing modules of the evaluation system are discussed. Data fusion methods are used in the system. During processing of the learning case, fuzzy method is also adopted. And finally, the validity of the evaluation system and the learning method is proved by application instance

Keywords

collision avoidance; knowledge representation; marine engineering; marine vehicles; sensor fusion; case learning method; case representation method; data fusion method; frame model; fuzzy method; vessel collision avoidance evaluation system; Collision avoidance; Computer aided software engineering; Cybernetics; Data structures; Decision making; Educational institutions; Humans; Intelligent systems; Knowledge representation; Learning systems; Machine learning; Navigation; Case learning; data fusion; evaluation system; frame knowledge representation; vessel collision avoidance;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258344

Filename

4028404