원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.7 No.2
2014.04
pp.75-84
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper a low pass finite impulse response (FIR) filter has been designed using artifi-cial neural network. The optimization of the network has been done using generalized regres-sion algorithm. The proposed approach has been compared with rectangular window method. The accuracy of this algorithm is about 98%, that is much higher than multi layer perceptron (MLP) back propagation algorithm.
목차
Abstract
1. Introduction
2. Design FIR Filter using Window Method
3. Artificial Neural Network
3.1. Radial Basis Network
3.2. Generalized Regression Neural Network
4. Formulation of Problem
5. Methodology
5.1. Step 1
5.2. Step 2
5.3. Step 3
6. Results and Discussion
7. Conclusion
References
1. Introduction
2. Design FIR Filter using Window Method
3. Artificial Neural Network
3.1. Radial Basis Network
3.2. Generalized Regression Neural Network
4. Formulation of Problem
5. Methodology
5.1. Step 1
5.2. Step 2
5.3. Step 3
6. Results and Discussion
7. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보