Inteligencia Artificiall
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1. COMBINING NEURAL NETWORKS AND FUZZY LOGIC FOR APPLICATIONS IN CHARACTER RECOGNITION
This thesis investigates the benefits of combining neural networks and fuzzy logic into neuro-fuzzy systems, especially for applications in character recognition tasks. The research reported in this thesis is divided into two parts. In the first part, two main neurofuzzy systems are described and investigated - the fuzzy MLP and RePART models. The former is
Publicado em: 2001