Fuzzy neural networks for classification problems with uncertain data input
This thesis addresses the problem of classification with uncertain input data using fuzzy neural networks. Uncertainty in classification is produced, in most cases, by overlapping among classes due to noise in the input data. However, there are many examples of classification problems where the clas...
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University of Surrey
1996
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.731053 |