Analysis and Forecasting on the Relationship between Port Logistics Capacity and Coastal Marine Economic Growth Based on PKNN in Case of Zhejiang Province

Abstract

A priori knowledge neural network is presented to model on the relationship between the port logistics capacity and coastal marine economic growth in Zhejiang province in China. Compared to other methods (such as general GM (1, 1) based time series model), the PKNN with multivariate and time series method has better performance. And, it is validated by predicting the level of coastal ocean economic development in Zhejiang from the year 2011 to 2020.