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Rainfall trend and supply chain network management in mountainous areas based on dynamic neural network

  • Cheng, Yuandong1
  • 1 Anhui University of Science and Technology, Huainan, 232001, China , Huainan (China)
Published Article
Arabian Journal of Geosciences
Publication Date
Jun 04, 2021
DOI: 10.1007/s12517-021-07418-3
Springer Nature


This article first introduces the research background and related technologies, according to the requirements of the early warning system; distinguishes the overall structure and functional modules of the early warning system software; and explains the design of its database and GIS. In order to solve the problem of relatively few traditional software functions, frequent switching of various systems is required, which is very troublesome to use. In order to overlap with high-precision rainfall prediction and obtain prediction accuracy, wavelet neural network and NARX dynamic neural network are used to predict rainfall tendency and rainfall, and the error of overlap prediction is analyzed. This method can provide high-precision prediction of rainfall and ensure the dynamic stability of the slope. The survey results show that there is an obvious correlation between the functional effects of the enterprise logistics management information system and the elasticity of the supply chain network. In other words, the application of logistics management information system can make the elasticity of the enterprise supply chain network lower. Then, this article analyzes the internal cooperation risks and external risks of the supply chain network and proposes a dual-cycle mode of supply chain network risk management. What is important is that each member of the supply chain network must design and sign contracts and establish a contract mechanism for risk sharing. Study the experienced risk events, and establish a learning mechanism. In order to improve the adaptability of the supply chain to the environment, a corresponding elastic mechanism needs to be established. Establish an emergency response mechanism to respond to emergency situations in a timely manner. At the same time, the government establishes a public mechanism to improve the ability of the supply chain network to deal with external risks, and ultimately can manage the risks of the supply chain network flexibly, and improve the risk prevention capabilities of the enterprise supply chain.

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