Research on the capacity early warning of oil tanker based on PCA-BP Neural Network method

In order to be able to give an accurate assessment on supply-demand lever of Tanker transportation capacity and to reduce the risk of the corresponding market expansion, a model named PCA-BP Neural Network of capacity early warning on oil tanker. Capacity early warning indicators are built from the perspective of supply-demand level, and the model is applied to the simulation and comparative analysis of international oil transportation capacity supply-demand level. In the result, the accuracy of model is 0.0001, and the error is 0.4%-7.3%, which can response the oil tanker capacity supply-demand level well.