Determination of autoregressive coefficients using Complex-Valued Neural Network
This paper discusses a new approach for Complex Autoregressive(CAR) model parameter estimation using Complex-Valued Neural Network (CVNN) technique. The CAR coefficients are computed from the adaptive weights and linear coefficients of the multi layer CVNN. The performance of the proposed technique...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/4926/ http://irep.iium.edu.my/4926/ http://irep.iium.edu.my/4926/1/CAR-USA.pdf |
| Summary: | This paper discusses a new approach for Complex Autoregressive(CAR) model parameter estimation using Complex-Valued Neural Network (CVNN) technique. The CAR coefficients are computed from the adaptive weights and linear coefficients of the multi layer CVNN. The performance of the proposed technique has been evaluated using simulated
Complex-Valued Data (CVD) with three different types of
linear activation functions. The results show that the proposed method can accurately determine CAR coefficients for
a properly trained CVNN. |
|---|