TRAINING AN ARTIFICIAL NEURAL NETWORK THE PURE PURSUIT MANEUVER


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HOMMERTZHEIM D., HUFFMAN J., SABUNCUOGLU İ.

COMPUTERS & OPERATIONS RESEARCH, cilt.18, ss.343-353, 1991 (SCI İndekslerine Giren Dergi)

  • Cilt numarası: 18 Konu: 4
  • Basım Tarihi: 1991
  • Doi Numarası: 10.1016/0305-0548(91)90095-9
  • Dergi Adı: COMPUTERS & OPERATIONS RESEARCH
  • Sayfa Sayısı: ss.343-353

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.