Tesis
Redes neurais construtivas para a classificação de padrões.
Fecha
2004-02-27Registro en:
PALMA NETO, Luiz Garcia. Redes neurais construtivas para a classificação de padrões.. 2004. 147 f. Dissertação (Mestrado em Ciências Exatas e da Terra) - Universidade Federal de São Carlos, São Carlos, 2004.
Autor
Palma Neto, Luiz Garcia
Institución
Resumen
Constructive neural learning is a neural learning model that does not assume a fixed
topology before training begins. The main characteristic of this learning model is the
dynamic construction of the network hidden layers which occurs simultaneously with training.
This research work investigates six constructive neural algorithms namely, tower, pyramid, tiling, upstart, Distal and cascade-correlation, evaluating each of them with relation to advantages and disadvantages, ease of training, size and topology of the network, restrictions and performance. The work presents a computational system (CONEB) which implements each algorithm. Results obtained by using the different algorithms in several knowledge domains
are presented and analysed.