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

摘要

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.