Ocean big data and applications in ship behavior prediction under disaster weather

Abstract

With the explosive growth of marine data,the ocean big data have received more attention and concern recently.The current status and key technologies of ocean big data here were summarized and analyzed.A specific case about the application of machine learning in the prediction model of ocean big data was also focused,which was a forecasting test of maritime ships behavior based on regression training in disaster weather (typhoon).The sample data for validating and evaluating three machine learning algorithms of decision tree,Bagging and random forest were trained and tested.The final results prove the best and robust effect of the random forest algorithm in the prediction of ship density under the disaster weather.

Keywords

• ocean big data;machine learning;ship behavior prediction