Ensembles of Multilayer Perceptron and Modular Neural Networks for Fast and Accurate Learning

In this paper, we analyze the performance of a classifier ensemble consisting of small-sized neural networks for accurate and fast learning. To this end, three topologies of neural networks are evaluated: the multilayer perceptron with two different configurations in the hidden layer, and the modular neural network. The experiments here carried out illustrate the effectiveness of the ensembles of neural networks in terms of average predictive accuracy and processing time, as compared to the single classifiers.