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As a neural network provides a non-linear function mapping from input variables to the corresponding network output, without the requirements of having to specify the relation between the input and output variables in the form of mathematical formula, its widely used in modeling for complex non-linear phenomena. In this paper, generalized regression neural network (GRNN) is applied as a new type of...
A model of fish disease diagnosis was proposed by combining rough sets theory (RST) with classifier fusion. On the basis of the attribute reduction of RST, the remaining condition attributes were used for the inputs of individual classifiers and the decision attributes as the outputs. The application of ordered weighted averaging (OWA) operator as a classifier fusion approach has been adopted to combine...
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