Design and research of fishing boat accident case library base on spatial database

DOI

10.2991/iccsae-15.2016.89How to use a DOI?

Keywords

Fishing boat early warning; Artificial immune system; Artificial neural network

Abstract

The paper builds a model of marine fishing vessel early-warning based on principle of Negative selection algorithm of artificial immune system and Fishing Boat Accident Case Library. Firstly, the index weight of model was calculated by using BP neural network algorithm. Then, the model of fishing vessel early-warning based on artificial immune system was built and tested, through steps of data encoding, affinity calculation, threshold determination, and creating warning detector. 80% warning success rate proved this model has good warning effect.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Yuling Xia
AU  - Yonghua Sun
AU  - Wenbin Li
AU  - Libin Qi
AU  - Cankun Yang
PY  - 2016/02
DA  - 2016/02
TI  - Design and research of fishing boat accident case library base on spatial database
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 472
EP  - 477
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.89
DO  - 10.2991/iccsae-15.2016.89
ID  - Xia2016/02
ER  -