[1] 周伟杰, 张宏如, 党耀国, 等. 新息优先累加灰色离散模型的构建及应用[J]. 中国管理科学, 2017, 25(8): 140-148. [2] 曾波, 刘思峰, 曲学鑫. 一种强兼容性的灰色通用预测模型及其性质研究[J]. 中国管理科学, 2017, 25(5): 150-156. [3] 陆冬磊, 吴春峰, 段胜刚, 等. 应用灰色模型GM(1,1)预测上海市副溶血性弧菌引起的食源性疾病发病率[J]. 环境与职业医学, 2015, 32(8): 728-730. [4] 蔡金钟. 疾病监测的灰色预测模型GM(1,1)研究[J].厦门大学学报(自然版),1995,(1): 121-126. [5] Valipour M, Banihabib M E, Behbahani S M R. Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir[J]. Journal of Hydrology, 2013, 476:433-441. [6] 华来庆, 申广荣, 熊林平, 等. ARIMA模型在黄瓜霜霉病疾病指数时间序列建模中的应用研究[J]. 第二军医大学学报, 2006, 27(7): 729-732. [7] Krumm J. A markov model for driver turn prediction [J]. Sae World Congress, 2008, 22(1): 1-25. [8] Dong M, He D. Hidden semi-Markov model-based methodology for multi-sensor equipment health diagnosis and prognosis[J]. European Journal of Operational Research, 2007, 178(3): 858-878. [9] Simon Andrew Jones, Mark Patrick Joy, Jon Pearson. Forecasting demand of emergency care[J]. Health Care Management Science, 2002, 5(4): 297-305. [10] 代小秋. 国内外症状监测系统发展现状及其评价框架[J]. 中华预防医学杂志, 2010, 44(6): 550-552. [11] 王智, 刘薇, 兰燕. 基于BP神经网络的脑血管疾病院内感染风险预测模型研究[J]. 重庆医学, 2017, 46(12): 1691-1693. [12] 樊楚, 贺向前, 于跃, 等. 基于数据挖掘技术建立的BP神经网络模型鉴别儿童川崎病与发热性疾病的研究[J]. 中国循证儿科杂志, 2017,(1): 22-26. [13] 张文茜, 苏海霞, 尚磊, 等. 基于BP神经网络和RBF神经网络预测老年痴呆症疾病进展的对比研究[J]. 现代生物医学进展, 2017, 17(4): 738-741. [14] Asiltürk ilhan, Cunkas M. Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method[M]. Oxford:Pergamon Press, Inc., 2011. [15] Mcclelland G H, Irwin J R, Disatnik D, et al. Multicollinearity is a red herring in the search for moderator variables: A guide to interpreting moderated multiple regression models and a critique of Iacobucci, Schneider, Popovich, and Bakamitsos [J]. Behavior Research Methods, 2016, 49(1): 394-402. [16] Shiota S, Okamoto Y, Okada G, et al. The neural correlates of the metacognitive function of other perspective: A multiple regression analysis study[J]. Neuroreport, 2017, 28(11): 671-676. [17] Yoo H Y, Lee J H, Kim D S, et al. Enhancement of glucose yield from canola agricultural residue by alkali pretreatment based on multi-regression models[J]. Journal of industrial and engineering chemistry, 2017, 51: 303-311. [18] 方益荣, 牛文柯, 卢巧玲, 等. 应用移动平均法预警学校结核病疫情的分析[J]. 疾病监测, 2017, 32(5): 418-422. [19] Moscarelli M, Athanasiou T, Sevdalis N, et al. Controlled exponentially weighted moving average chart in cardiac surgery: A simulation study across 9 italian cardiac centers[J]. Seminars in Thoracic & Cardiovascular Surgery, 2016, 28(2): 253-258. [20] 王永斌, 李向文, 柴峰, 等. 采用灰色-广义回归神经网络组合模型预测我国尘肺病发病人数的方法探讨[J]. 环境与职业医学, 2016, 33(10): 984-987+999. [21] 江艺羡, 张岐山. 近似非齐次无偏GM(1,1)模型的递推解法及应用[J]. 控制与决策, 2015, 30(12): 2199-2204. [22] 徐宁, 党耀国. 特征自适应型GM(1,1)模型及对中国交通污染排放量的预测建模[J]. 系统工程理论与实践, 2018, 38(1): 187-196. [23] 杨保华, 赵金帅. 优化离散灰色幂模型及其应用[J]. 中国管理科学, 2016, 24(2): 162-168. |