Designing and implementing embedded fault diagnosis systems using MLP and RBFN classifiers
As new microcontrollers and related processors have become available, it has become possible to create embedded systems for condition monitoring and fault diagnosis (CMFD). This thesis explores how two popular classifiers: the MultiLayer Perceptron (MLP) and Radial Basis Function neural Network (RBF...
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University of Leicester
2003
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.490924 |