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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
Mariano, Robson; Nobre, Flavio Fonseca.
  • Mariano, Robson; Universidade Federal Rural do Rio de Janeiro. Instituto de Ciências Exatas. DEMAT Departamento de Matemática. Rio de Janeiro. BR
  • Nobre, Flavio Fonseca; Universidade Federal do Rio de Janeiro. COPPE Programa de Engenharia Biomédica. Rio de Janeiro. BR
In. IFMBE. Anais do III Congresso Brasileiro de Engenharia Biom‚dica. 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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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