Rede neural de base radial aplicada na predição de séries temporais epidemiológicas: uso da validação cruzada com K dobras na determinação dos parâmetros da rede / Radial basis neural network applied in the prediction of time series epidemiologic use of K-fold cross validation with the determination of network parameters
In. IFMBE. Anais do III Congresso Brasileiro de Engenharia Biomdica. João Pessoa, IFMBE, 2004. p.915-918, ilus.
Monography
in Portuguese
| LILACS
| ID: lil-557802
ABSTRACT
This paper presents a radial basis function neural network (RBF) approach for the modeling and forecasting of public health survellance data. It extends the k-fold cross validation procedure for training neural networks with independent observations to handle time-series data...
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Index:
LILACS (Americas)
Main subject:
Time Series Studies
/
Public Health
/
Neural Networks, Computer
/
Forecasting
/
Hepatitis A
Type of study:
Prognostic study
/
Risk factors
Country/Region as subject:
South America
/
Brazil
Language:
Portuguese
Year:
2004
Type:
Congress and conference
/
Monography
Institution/Affiliation country:
Universidade Federal Rural do Rio de Janeiro/BR
/
Universidade Federal do Rio de Janeiro/BR
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