Fig 1.
The flowchart of the study process.
Fig 2.
Schematic diagram of the neural network structure.
Fig 3.
The improved model of grey-BP neural network.
Table 1.
Forecast index system of cold chain logistics demand for aquatic products.
Table 2.
Results of the grey relational degree.
Fig 4.
Grey predictive model fitting and prediction.
Table 3.
Model construction results.
Table 4.
GM (1, 1) model checking table.
Table 5.
Forecast data from 2022 to 2026.
Fig 5.
Fitting diagram of the neural network toolbox test model.
Table 6.
Test results of neural network toolbox.
Fig 6.
Model-fitting comparison diagram.
Table 7.
Per capita demand for cold chain logistics of aquatic products in China from 2022 to 2026.
Table 8.
The value of the fishery production in China from 2022 to 2026.
Table 9.
Comparison of research results.