Nonlinear filtering design using dynamic neural networks with fast training


Becerikli Y.

COMPUTER AND INFORMATION SCIENCES - ISCIS 2003, vol.2869, pp.601-610, 2003 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 2869
  • Publication Date: 2003
  • Title of Journal : COMPUTER AND INFORMATION SCIENCES - ISCIS 2003
  • Page Numbers: pp.601-610

Abstract

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.