On the influence of the training set data preprocessing on neural networks training
V. Nedeljkovic, M. Milosavljevic · 2003
A training set preprocessing procedure is proposed and its influence on neural network training performance is considered. The proposed procedure has two steps: firstly, training set data are reclassified by the 1-NN method; secondly, the data obtained in the previous step are condensed. The theoretical considerations of the proposed methods as well as some examples of neural networks training based on original and preprocessed training sets are given.>