Jan 4, 2022 · The demanding forecast of coal logistics is the premise of integrating coal logistics resources and improving its efficiency.
The demanding forecast of coal logistics is the premise of integrating coal logistics resources and improving its efficiency.
The demanding forecast of coal logistics is the premise of integrating coal logistics resources and improving its efficiency. First, we considered the ...
The findings can help for better understanding of coal logistics, and then the following suggestions are proposed to improve its demanding forecast for China's ...
Demand forecasting model of coal logistics based on drosophila-grey neural network. Int. J. Syst. Assur. Eng. Manag. 14(2): 807-815 (2023). [+][–]. Coauthor ...
In this paper, a hybrid method which combines the Grey Model, artificial neural networks and other techniques in both learning and analyzing phases is proposed ...
Missing: drosophila- | Show results with:drosophila-
Jan 4, 2022 · Any future updates will be listed below. Demand forecasting model of coal logistics based on drosophila-grey neural network. Crossref DOI link ...
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A logistics demand forecasting model based on Grey neural network
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In this paper, a hybrid method which combines the Grey Model, artificial neural networks and other techniques in both learning and analyzing phases is proposed ...
Missing: coal drosophila-
Demand forecasting model of coal logistics based on drosophila-grey neural network ... Neural Network and Comparison with Various Forecasting Techniques · S ...
Zhang et al[32]proposed a logistics demand forecasting model (ARIMA-BPNN) based on autoregressive moving difference model to correct the error of neural network ...