Abstract
In order to solve the opioid crisis which broke out in the United States, the diffusion model suitable for the problem is established, inspired by the error inverse propagation model. By observing the diffusion characteristics of opioids between the five states and their counties, the locations where each state began to use specific opioids are identified and the diffusion characteristics of the corresponding programmes are summarized. Ultimately, the opportunity for the government to focus on such cases and the threshold of the corresponding drug is found, and the location and time of the case are predicted.
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This work was supported by Sichuan Province Science and Technology Program (2019YJ0683).
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Liu, D., Liu, W. (2021). The Application of BP Neural Network in the Opioid Crisis. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-62743-0_26
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DOI: https://doi.org/10.1007/978-3-030-62743-0_26
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