A novel signal diagnosis technique using pseudo complex-valued autoregressive technique
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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/1476/1/ESWA.pdf http://irep.iium.edu.my/1476/ http://www.elsevier.com/wps/find/journaldescription.cws_home/939/description#description |
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| Summary: | 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. |
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