A novel signal diagnosis technique using pseudo complex-valued autoregressive technique
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Date
2011-08-01
Journal Title
Journal ISSN
Volume Title
Publisher
Pergamon
Abstract
In 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.
Description
Keywords
Autoregressive model, Complex-valued data (CVD), Complex-valued neural network (CVNN), Diabetes, Parametric models
Citation
Aibinu, 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.