Fuzzy pattern classification and the connectionist approach

Several hybrid architectures combining fuzzy pattern classification and the connectionist approach will be developed and tested for the particular problem of diagnostic classification in computerized electrocardiography. The first level of fuzzy description of the input parameters is performed by a layer of Radial Basis Functions, and this step can be seen as a level of data abstraction. A subsequent classical NN processes these fuzzy descriptions. Several experiments have been performed on the components of the resulting architecture in order to point out their influence on the overall performance in the diagnostic classification task. A large validated database has been used for the validation of the proposed hybrid architecture.