Pre-processing inputs for optimally-configured time-delay neural networks

TAŞKAYA TEMİZEL T., Casey M., Ahmad K.

ELECTRONICS LETTERS, cilt.41, sa.4, ss.198-200, 2005 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 41 Sayı: 4
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1049/el:20058016
  • Dergi Adı: ELECTRONICS LETTERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.198-200
  • Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

A procedure for pre-processing non-stationary time series is proposed for modelling with a time-delay neural network (TDNN). The procedure stabilises the mean of the series and uses a fast Fourier transform to determine the TDNN input size. Results of applying this procedure on five well-known data sets are compared with existing hybrid neural network techniques, demonstrating improved prediction performance.