The (N-1) GRNN Model

A time series sequence forecasting model using the General Regression Neural Network (GRNN).
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Updated 14 May 2017

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The model can be used to predict the incedence of most infectious diseases, and the fitting and forecasting performance are relative good. The detail of developing the GRNN model were shown in the paper : '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). The (N-1) GRNN Model (/matlabcentral/fileexchange/61367-the-n-1-grnn-model), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
Platform Compatibility
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Version Published Release Notes
2.1.0.0

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2.0.0.0

Add a “The basic GRNN model operation manual”

1.0.0.0

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