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Fall 2012
In this thesis, we introduce a concept of feature reduction, in which the reduction is guided by a criterion of structure retention. In other words, the features forming the reduced space are selected in such a way that the original structure present in the highly dimensional space is retained in...
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Fall 2014
In this thesis, we propose a design process to construct granular neural networks with granular inputs and numeric network parameters. The proposed granular network is formed on the basis of a numeric neural network whose inputs are augmented using probabilistic information granules. The design...