Fuzzy feature extraction using a class of neural network

The authors present a novel approach to feature extraction using a class of neural networks for the purpose of authorship recognition. The framework of the research is based on the factor space theory proposed by P.Z. Wang (1990). The main advantage of this approach compared to others is that the dimension of the state space required to distinguish the output patterns for a particular recognition problem can be reduced to the minimum; as a result, both the computation time and the memory storage can be reduced substantially.<
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