Determination of brake force using artificial neural network

Koca A., Bayrakceken H., Altiparmak D.

JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, cilt.66, sa.6, ss.425-430, 2007 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 66 Sayı: 6
  • Basım Tarihi: 2007
  • Dergi Adı: JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.425-430
  • Gazi Üniversitesi Adresli: Hayır

Özet

Brake forces for different conditions have been used to create an artificial neural network (ANN) model. A mathematical formulation is obtained by considering effective factors of brake force (slip, tread depth, road surface, turn angle, tread profile, tire pressure and Toe of the wheel). There is a good agreemnet between experimental data and ANN model. The best appraoch with minimum errors is performed using LM algorithm with 4 neurons on hidden layers. Statistical coefficient of multiple determinations (R-2 value) is obtained as 0,999699 for training data and 0,999178 for testing data.