Learning Fuzzy Rules
Mostrando 13-14 de 14 artigos, teses e dissertações.
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13. HIERARCHICAL NEURO-FUZZY MODELS / MODELOS NEURO-FUZZY HIERÁRQUICOS
This dissertation presents a new proposal of neurofuzzy systems (models), which present, in addition to the learning capacity (which are common to the neural networks and neurofuzzy systems) the following features: learning of the structure; the use of recursive partitioning; a greater number of inputs than usually allowed in neurofuzzy systems; and hierarch
Publicado em: 1999
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14. INTELIGÊNCIA COMPUTACIONAL APLICADA EM MACHINE LEARNING / COMPUTATIONAL INTELLIGENCE APLPLIED IN THE FIELD OF MACHINE LEARNING
This work investigates the application and performance of the Computational intelligence technics in the field of Machine Learning. In particular, was investigated the application of intelligent systems (Neural Networks, genetic Algorithms and fuzzy Logic) in the development of algorithms that codify inductive mechanisms in Machine Learning. This work was de
Publicado em: 1999