ARIMA-GRNN hybrid model

Version 1.0.0.0 (1.16 MB) by Wudi Wei
Using the ARIMA-GRNN hybrid model to predict the incidence of infectious diseases.
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Updated 1 Feb 2017

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The system contain two parts: the ARIMA model part and the GRNN model part.
Automatic seeking the four parameters of the ARIMA model.
It is easy for the CDC or reseachers to use to assess the disease epidemic situation.
The detail of developing the hybird model was shown in the papaer: : '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' PMCID: PMC4892637 DOI: 10.1371/journal.pone.0156768.

Cite As

Wudi Wei (2025). ARIMA-GRNN hybrid model (https://www.mathworks.com/matlabcentral/fileexchange/61383-arima-grnn-hybrid-model), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0.0