Abstract
This paper deals with knowledge acquisition from ship operation data base to be used for ship collision avoidance. We used supervised training data that was obtained from an expert ship operator and developed for a circumstantial judgement neural network. We adopted a data mining approach, which has the advantage of finding hidden rules in the data base, and developed a new algorithm based on a linear search algorithm. We applied the new algorithm to the data base and extracted four kinds of meta-knowledge structures expressed in simple directed graphs, which can be used as a knowledge base for ship operation expert systems, intelligent interface systems, etc. The validity of these structures and possible future applications of the data mining approach to the ship operation data base are discussed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
