TRAINING AN ARTIFICIAL NEURAL NETWORK THE PURE PURSUIT MANEUVER

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HOMMERTZHEIM D., HUFFMAN J., SABUNCUOGLU İ.

COMPUTERS & OPERATIONS RESEARCH, vol.18, no.4, pp.343-353, 1991 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 18 Issue: 4
  • Publication Date: 1991
  • Doi Number: 10.1016/0305-0548(91)90095-9
  • Journal Name: COMPUTERS & OPERATIONS RESEARCH
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.343-353
  • Abdullah Gül University Affiliated: No

Abstract

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.