Information Processing and Management: an International Journal
Improving iris recognition through new target vectors in MLP artificial neural networks
ANNPR'12 Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition
Parallel Training of An Improved Neural Network for Text Categorization
International Journal of Parallel Programming
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This paper presents a new constructive method and pruning approaches to control the design of Multi-Layer Perceptron (MLP) without loss in performance. The proposed methods use a multi-objective approach to guarantee generalization. The constructive approach searches for an optimal solution according to the pareto set shape with increasing number of hidden nodes. The pruning methods are able to simplify the network topology and to identify linear connections between the inputs and outputs of the neural model. Topology information and validation sets are used.