Nonlinear filtering design using dynamic neural networks with fast training
COMPUTER AND INFORMATION SCIENCES - ISCIS 2003, cilt.2869, ss.601-610, 2003 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 2869
- Basım Tarihi: 2003
- Dergi Adı: COMPUTER AND INFORMATION SCIENCES - ISCIS 2003
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, EMBASE, MathSciNet, Philosopher's Index, zbMATH
- Sayfa Sayıları: ss.601-610
- Kocaeli Üniversitesi Adresli: Evet
Özet
This paper presents nonlinear filtering using dynamic neural networks (DNNs). In addition, the general usage of linear filtering structure is given. DNN which has a quasi-linear structure has been effectively used as a filter with fast training algorithm such as Levenberg-Marquardt method. The test results are shown that the performance of DNN as linear and nonlinear filters is satisfactory.