1.
In. IFMBE. Anais do III Congresso Brasileiro de Engenharia Biomdica. João Pessoa, IFMBE, 2004. p.915-918, ilus.
Monografia
em Português
| LILACS
| ID: lil-557802
RESUMO
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...