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- W4240319040 abstract "A novel fuzzy rough granular neural network (NFRGNN) based on the multilayer perceptron using back-propagation algorithm is described for fuzzy classification of patterns. We provide a development strategy of knowledge extraction from data using fuzzy rough set theoretic techniques. Extracted knowledge is then encoded into the network in the form of initial weights. The granular input vector is presented to the network while the target vector is provided in terms of membership values and zeros. The superiority of NFRGNN is demonstrated on several real life data sets." @default.
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- W4240319040 date "2011-09-01" @default.
- W4240319040 modified "2023-10-16" @default.
- W4240319040 title "A Novel Fuzzy Rough Granular Neural Network for Classification" @default.
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- W4240319040 doi "https://doi.org/10.1080/18756891.2011.9727852" @default.
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