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.
关键词
多元大数据/粒子群优化模糊神经网络/异常船舶识别
Key words
multivariate big data/particle swarm optimization and fuzzy neural network/abnormal ship identification
维普
万方数据