Computer
Feature selection for ensembles
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Face Recognition Using Ensembles of Networks
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems (Studies in Fuzziness and Soft Computing)
Neural network combination by fuzzy integral for robust change detection in remotely sensed imagery
EURASIP Journal on Applied Signal Processing
Parallel nonlinear optimization techniques for training neural networks
IEEE Transactions on Neural Networks
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A new method for response integration in ensemble neural networks with Type-1 and Type-2 Fuzzy Logic is presented. Genetic Algorithms (GA's) are used for fuzzy system optimisation. In this paper we consider pattern recognition with ensemble neural networks for the case of fingerprints to test the proposed method of response integration. An ensemble neural network of three modules is used. Each module is a local expert on person recognition based on its biometric measure (Pattern recognition for fingerprints). The Response Integration method of the ensemble neural networks has the goal of combining the responses of the modules to improve the recognition rate of the individual modules.