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Application of a Combined Model with Autoregressive Integrated Moving Average (ARIMA) and Generalized Regression Neural Network (GRNN) in Forecasting Hepatitis Incidence in Heng County China

机译：自回归综合移动平均线（ARIMA）与广义回归神经网络（GRNN）组合模型在横县肝炎发病率预测中的应用

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BackgroundHepatitis is a serious public health problem with increasing cases and property damage in Heng County. It is necessary to develop a model to predict the hepatitis epidemic that could be useful for preventing this disease.

机译：背景技术横县的肝炎是一个严重的公共卫生问题，病例和财产损失都在增加。有必要建立一个模型来预测可能对预防这种疾病有用的肝炎流行。

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期刊名称 other
作者
Wudi Wei; Junjun Jiang; Hao Liang; Lian Gao; Bingyu Liang; Jiegang Huang; Ning Zang; Yanyan Liao; Jun Yu; Jingzhen Lai; Fengxiang Qin; Jinming Su; Li Ye; Hui Chen;
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年(卷),期 -1(11),6
年度 -1
页码 e0156768
总页数 13
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专利

1. A New Hybrid Model Using an Autoregressive Integrated Moving Average and a Generalized Regression Neural Network for the Incidence of Tuberculosis in Heng County, China [J] . Wei Wudi, Jiang Junjun, Gao Lian, The American Journal of Tropical Medicine and Hygiene . 2017,第3期

机译：一种新的混合模型，采用自回归综合移动平均线和恒县结核病发病率的通用回归神经网络
2. Forecasting the monthly iron ore import of China using a model combining empirical mode decomposition, non-linear autoregressive neural network, and autoregressive integrated moving average [J] . Wang Zheng-Xin, Zhao Yu-Feng, He Ling-Yang Applied Soft Computing . 2020,第1期

机译：使用模型组合实证分解，非线性自动评级神经网络和自动汇编综合移动平均水平的模型预测中国的每月铁矿石进口
3. COMPARATIVE ANALYSIS OF THE PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS (ANNs) AND AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) MODELS ON RAINFALL FORECASTING [J] . P. Ayuba, M. Abdullateef Science World Journal . 2018,第1期

机译：降雨预报的人工神经网络和自回归综合移动平均（ARIMA）模型的性能比较分析
4. Rainfall Forecasting Multi Kernel Support Vector Regression Seasonal Autoregressive Integrated Moving Average (MKSVR-SARIMA) [C] . Rezzy Eko Caraka, Sakhinah Abu Bakar, Muhammad Tahmid Universiti Kebangsaan Malaysia, Faculty of Science and Technology Conference Postgraduate Colloquium . 2019

机译：降雨预测多核支持向量回归季节性自动进球综合移动平均线（MKSVR-Sarima）
5. Comparison of regression and ARIMA models with neural network models to forecast the daily streamflow of White Clay Creek. [D] . Liu, Greg Qi. 2011

机译：将回归模型和ARIMA模型与神经网络模型进行比较，以预测White Clay Creek的日流量。
6. A New Hybrid Model Using an Autoregressive Integrated Moving Average and a Generalized Regression Neural Network for the Incidence of Tuberculosis in Heng County China [O] . Wudi Wei, Junjun Jiang, Lian Gao, 2017

机译：基于自回归综合移动平均值和广义回归神经网络的横县结核病发病新混合模型
7. Application of a Combined Model with Autoregressive Integrated Moving Average (ARIMA) and Generalized Regression Neural Network (GRNN) in Forecasting Hepatitis Incidence in Heng County, China. [O] . Wudi Wei, Junjun Jiang, Hao Liang, 2016

机译：自回归整合移动平均法（aRIma）和广义回归神经网络（GRNN）联合模型在横县肝炎发病预测中的应用。

Application of a Combined Model with Autoregressive Integrated Moving Average (ARIMA) and Generalized Regression Neural Network (GRNN) in Forecasting Hepatitis Incidence in Heng County China

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