TRAINING AN ARTIFICIAL NEURAL NETWORK THE PURE PURSUIT MANEUVER

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HOMMERTZHEIM D., HUFFMAN J., SABUNCUOGLU İ.

COMPUTERS & OPERATIONS RESEARCH, cilt.18, sa.4, ss.343-353, 1991 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 18 Sayı: 4
  • Basım Tarihi: 1991
  • Doi Numarası: 10.1016/0305-0548(91)90095-9
  • Dergi Adı: COMPUTERS & OPERATIONS RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.343-353
  • Abdullah Gül Üniversitesi Adresli: Hayır

Özet

Artificial neural networks' ability to learn, categorize, generalize, and self organize make them potentially very useful for a variety of application areas. This paper discusses some experiences in attempting to teach a neural network how to perform the pure pursuit maneuver. Several problems were encountered in defining a proper training set. Three and four layer backpropagation networks were utilized to capture the input to output mappings.