Statistical analysis of vehicles' vibration due to road roughness using radial basis artificial neural network

Yildirim S., Uzmay I.

APPLIED ARTIFICIAL INTELLIGENCE, cilt.15, sa.4, ss.419-427, 2001 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 15 Sayı: 4
  • Basım Tarihi: 2001
  • Doi Numarası: 10.1080/08839510151087356
  • Dergi Adı: APPLIED ARTIFICIAL INTELLIGENCE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.419-427
  • Erciyes Üniversitesi Adresli: Evet

Özet

This article investigates the variation of vertical vibrations of vehicles using a Radial Basis Neural Network (RBNN). The RBNN is employed to predict desired values of amplitude of acceleration for different road conditions such as concrete, waved stone block paved and country roads. The proposed neural system is also tested for different natural frequencies and the ratios of damping. This method is conceptually straightforward, and it is also applicable to other type vehicles such as trucks.