Combinação de classificadores para reconhecimento de padrões

PRAMPERO, P. S. (1998). Combinação de Classificadores para Reconhecimento de Padrões. São Carlos, 1998. Dissertation (Mastership) Institute of Mathematics Science of São Carlos, University of São Paulo. The human brain is formed by neurons of different types, each one with its own speciality. The combination of theses different types of neurons is one of the main features responsible for the brain performance in severa! tasks. Artificial Neural Networks are computation technics whose mathematical model is based on the nervous system and learns new knowledge by experience. An alternative to improve the performance of Artificial Neural Networks is the employment of Classifiers Combination techniques. These techniques of combination explore the difference and the similarity of the networks to achieve better performance. The main application of Artificial Neural Networks is Pattern Recognition. In this work, Classifiers Combination techniques were utilized to combine Artificial Neural Networks to solve Pattern Recognition problems.

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