Study on the Abnormal Vessel Identification in the Shanghai Section of the Yangtze River
This study proposes a judgment model based on multiple big data technology for the problem of ship ships in Shanghai section of the Yangtze River.The existing abnormal ship identification method has the problem of data island,and it is difficult to find the effective correlation.In this regard,the identification method of abnormal ship in the Shanghai section of the Yangtze River is studied.First of all,integrate multiple data sources such as ship track information and human-ship correlation information based on multi-big data technology,and optimize fuzzy neural network based on particle swarm.The experimental results show that the identification accuracy of the design method is 93%,which has certain practicability.
multivariate big dataparticle swarm optimization and fuzzy neural networkabnormal ship identification
万方数据
维普
