Measuring Diversity and Accuracy in ANN Ensembles.

M. Paz Sesmero Lorente Juan Manuel Alonso-Weber Alessandro Giuliani Giuliano Armano Araceli Sanchis

Published in: CAEPIA (2018)

Keyphrases

artificial neural networks
ensemble members
high accuracy
decision trees
computational efficiency
precision and recall

prediction accuracy
diversity measures
multiple classifier systems
error rate
classification accuracy
computational cost

using artificial neural networks
improved accuracy
neural network
ensemble methods
ensemble learning
random forests

accuracy rate
classifier ensemble
information systems
learning algorithm
ensemble selection