Fuzzy rough granular neural networks, fuzzy granules, and classification


We introduce a fuzzy rough granular neural network (FRGNN) model based on the multilayer perceptron using a back-propagation algorithm for the fuzzy classification of patterns. We provide the development strategy of the network mainly based upon the input vector, initial connection weights determined by fuzzy rough set theoretic concepts, and the target… (More)
DOI: 10.1016/j.tcs.2011.05.038


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