The (N-1) GRNN Model

A time series sequence forecasting model using the General Regression Neural Network (GRNN).
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Aggiornato 14 mag 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.

Cita come

Wudi Wei (2025). The (N-1) GRNN Model (https://it.mathworks.com/matlabcentral/fileexchange/61367-the-n-1-grnn-model), MATLAB Central File Exchange. Recuperato .

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Versione Pubblicato Note della release
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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