|
[1]
|
张琳, 王金玉, 王鑫, 王伟, 曲立. 重大自然灾害下多灾害点应急物资智能调度优化[J]. 清华大学学报(自然科学版), 2023, 63(5): 765-774.
|
|
[2]
|
Zhang, H., Tao, N.R. and Yang, N. (2022) Emergencies Materials Dispatching of Offshore Oil Spill with Time-Varying Properties. Journal of Transportation Systems Engineering and Information Technology, 22, 269-280.
|
|
[3]
|
Shao, J., Liang, C., Liu, Y., et al. (2021) Relief Demand Forecasting Based on Intuitionistic Fuzzy Case-Based Reasoning. Socio-Economic Planning Sciences, 74, Article ID: 100932. [Google Scholar] [CrossRef]
|
|
[4]
|
邓林, 陈玉斌, 刘湘慧, 陈赟. 基于RBF神经网络的地铁隧道施工坍塌事故应急车辆需求预测[J]. 铁道科学与工程学报, 2022, 7(7): 162-171.
|
|
[5]
|
王英辉, 王肖红, 张庆红. 重大公共卫生事件下应急物资动态需求预测分析[J]. 情报杂志, 2022, 41(6): 135-141.
|
|
[6]
|
张文芬, 杨家其. 基于小波神经网络的海上突发事件应急资源动态需求预测[J]. 运筹与管理, 2015, 24(4): 198-205.
|
|
[7]
|
邓烨, 朱万红, 王凤山, 刘华丽. 应急物流车辆调度多目标鲁棒优化研究[J]. 计算机工程与应用, 2019, 55(1): 248-255.
|
|
[8]
|
高鑫宇, 倪静. 带模糊需求的多阶段双目标应急选址——路径优化[J]. 计算机应用研究, 2022, 39(2): 391-397.
|
|
[9]
|
Majumder, S. and Pratihar, D.K. (2018) Multi-Sensors Data Fusion through Fuzzy Clustering and Predictive Tools. Expert Systems with Applications, 107, 165-172. [Google Scholar] [CrossRef]
|
|
[10]
|
Che, X., Mi, J. and Chen, D. (2018) Information Fusion and Numerical Characterization of a Multi-Source Information System. Knowledge-Based Systems, 145, 121-133. [Google Scholar] [CrossRef]
|
|
[11]
|
Padilla, W.R., García, J. and Molina, J.M. (2021) Improving Time Series Forecasting Using Information Fusion in Local Agricultural Markets. Neurocomputing, 452, 355-373. [Google Scholar] [CrossRef]
|
|
[12]
|
严阅, 陈瑜, 刘可伋, 罗心悦, 许伯熹, 江渝程晋. 基于一类时滞动力学系统对新型冠状病毒肺炎疫情的建模和预测[J]. 中国科学: 数学, 2020, 50(3): 385-392.
|
|
[13]
|
Yang, Z., Zeng, Z., Wang, K., et al. (2020) Modified SEIR and AI Prediction of the Epidemics Trend of COVID-19 in China under Public Health Interventions. Journal of Thoracic Disease, 12, 165-174. [Google Scholar] [CrossRef] [PubMed]
|
|
[14]
|
蒋艳, 孙学婷, 赵瑞, 龚建行, 彭志行, 杜牧龙. 基于某空港入境传染病时间序列的预测预警系统[J]. 中国卫生统计, 2020, 37(6): 5-24.
|
|
[15]
|
Hawas, M. (2020) Generated Time-Series Prediction Data of COVID-19’s Daily Infections in Brazil by Using Recurrent Neural Networks. Data in Brief, 32, Article ID: 106175. [Google Scholar] [CrossRef] [PubMed]
|
|
[16]
|
Liu, M., Zhang, L. and Zhang, Z. (2015) Optimal Scheduling of Logistical Support for Medical Resources Order and Shipment in Community Health Service Centers. Journal of Industrial Engineering and Management, 8, 1362-1379. [Google Scholar] [CrossRef]
|
|
[17]
|
葛洪磊, 刘南. 重大传染病疫情演化情境下应急物资配置决策建模分析: 以新冠肺炎疫情为例[J]. 系统工程学报, 2020, 34(3): 214-222.
|
|
[18]
|
Paul, S., Mahata, A., Ghosh, U., et al. (2021) Study of SEIR Epidemic Model and Scenario Analysis of COVID-19 Pandemic. Ecological Genetics and Genomics, 19, Article ID: 100087. [Google Scholar] [CrossRef] [PubMed]
|
|
[19]
|
范如国, 王奕博, 罗明, 张应青, 朱超平. 基于SEIR的新冠肺炎传播模型及拐点预测分析[J]. 电子科技大学学报, 2020, 49(3): 369-374.
|
|
[20]
|
Tang, B., Wang, X., Li, Q., et al. (2020) Estimation of the Transmission Risk of the 2019-nCoVand Its Implication for Public Health Interventions. Journal of Clinical, 9, 1-13. [Google Scholar] [CrossRef] [PubMed]
|
|
[21]
|
宋英华, 苏贝贝, 霍非舟, 宁晶婧, 方丹辉. 考虑动态需求的应急物资配送中心快速选址研究[J]. 中国安全科学学报, 2019, 29(8): 172-177.
|
|
[22]
|
王英辉, 王肖红, 张庆红. 重大公共卫生事件下应急物资动态需求预测分析[J]. 情报杂志, 2022, 41(6): 135-141.
|
|
[23]
|
蔡洁, 贾浩源, 王珂. 基于SEIR模型对武汉市新型冠状病毒肺炎疫情发展趋势预测[J]. 山东医药, 2020, 60(6): 1-4.
|