Abstract
The MATLAB implementation of grey neural network prediction modeling has been widely used.[1] Firstly, this paper briefly introduces the prediction process of grey GM (1,1) model, constructs the data of container throughput of some main ports in the Yangtze River Delta from 2016 to 2020, uses the powerful scientific calculation function of MATLAB, first accumulates the correlation coefficients a and B, and obtains the corresponding prediction model; Secondly, verify the original data with residuals and relative errors, and then predict the container throughput from 2021 to 2025. According to the prediction results, it provides suggestions for the logistics development of Shanghai port, which can provide a certain theoretical basis for the government departments to formulate the future development plan of the port to a certain extent.
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