Nonlinear filtering design using dynamic neural networks with fast training


Becerikli Y.

COMPUTER AND INFORMATION SCIENCES - ISCIS 2003, cilt.2869, ss.601-610, 2003 (SCI İndekslerine Giren Dergi)

  • Cilt numarası: 2869
  • Basım Tarihi: 2003
  • Dergi Adı: COMPUTER AND INFORMATION SCIENCES - ISCIS 2003
  • Sayfa Sayısı: ss.601-610

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.