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dc.contributor.authorAibinu, Abiodun M.-
dc.contributor.authorSalami, Momoh-Jimoh E.-
dc.contributor.authorShafie, Amir A.-
dc.identifier.citationAibinu, A. M., Salami, M. J. E., & Shafie, A. A. (2011). A novel signal diagnosis technique using pseudo complex-valued autoregressive technique. Expert Systems with Applications, 38(8), 9063-9069.en_US
dc.description.abstractIn this paper, a new method of biomedical signal classification using complex- valued pseudo autoregressive (CAR) modeling approach has been proposed. The CAR coefficients were computed from the synaptic weights and coefficients of a split weight and activation function of a feedforward multilayer complex valued neural network. The performance of the proposed technique has been evaluated using PIMA Indian diabetes dataset with different complex-valued data normalization techniques and four different values of learning rate. An accuracy value of 81.28% has been obtained using this proposed technique.en_US
dc.subjectAutoregressive modelen_US
dc.subjectComplex-valued data (CVD)en_US
dc.subjectComplex-valued neural network (CVNN)en_US
dc.subjectParametric modelsen_US
dc.titleA novel signal diagnosis technique using pseudo complex-valued autoregressive techniqueen_US
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