A novel signal diagnosis technique using pseudo complex-valued autoregressive technique

Aibinu, Abiodun M.Salami, Momoh-Jimoh E.Shafie, Amir A.2019-10-242019-10-242011-08-01Aibinu, 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.https://doi.org/10.1016/j.eswa.2010.11.005http://repository.elizadeuniversity.edu.ng/handle/20.500.12398/596In 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.enAutoregressive modelComplex-valued data (CVD)Complex-valued neural network (CVNN)DiabetesParametric modelsA novel signal diagnosis technique using pseudo complex-valued autoregressive techniqueArticle