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...
| Үндсэн зохиолчид: | , , |
|---|---|
| Формат: | Өгүүллэг |
| Хэл сонгох: | English |
| Хэвлэсэн: |
Elsevier
2011
|
| Нөхцлүүд: | |
| Онлайн хандалт: | http://irep.iium.edu.my/1476/1/ESWA.pdf |
| Тойм: | 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. |
|---|