کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
385811 | 660873 | 2011 | 7 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A novel signal diagnosis technique using pseudo complex-valued autoregressive technique A novel signal diagnosis technique using pseudo complex-valued autoregressive technique](/preview/png/385811.png)
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.
Research highlights
► New method of data classification using pseudo modeling approach.
► Computation of the required model coefficients for the proposed pseudo modeling approach involve the use of complex valued neural network technique for efficient and effective data classification.
► Accuracy value of 81.28% has been obtained in this work using the proposed pseudo modeling approach.
Journal: Expert Systems with Applications - Volume 38, Issue 8, August 2011, Pages 9063–9069