Research on Dairy Railway Cold Chain Transportation Volume Prediction method Based on Neural Network and Competition Sharing Rate Combination Model
Pages 340 - 345
Abstract
Mastering the development trend of railway cold chain logistics volume is a prerequisite for realizing the market-oriented operation of railway cold chain logistics, promoting the transformation of railway cold chain logistics to modern logistics, and formulating railway cold chain transportation organization and operation plans. To reasonably predict the dairy railway cold chain transportation volume, this paper combines the neural network with the modal share model to construct a dairy railway cold chain transportation volume prediction combination model based on neural network and modal share, based on the development status and influencing factors of China's railway cold chain transportation volume. With the data of dairy production and per capita dairy consumption in various provinces from 2012 to 2022, the dairy railway cold chain transportation volume between major sections is predicted. According to the results of the model solution, it can reflect the dairy railway cold chain transportation volume and its changing trend, providing a basis for the decision-making of railway cold chain logistics business development.
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- Research on Dairy Railway Cold Chain Transportation Volume Prediction method Based on Neural Network and Competition Sharing Rate Combination Model
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August 2024
465 pages
ISBN:9798400716997
DOI:10.1145/3695652
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Association for Computing Machinery
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Published: 15 October 2024
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IMMS 2024
IMMS 2024: 2024 the 7th International Conference on Information Management and Management Science
August 23 - 25, 2024
Beijing, China
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