Hommertzheim, D.Huffman, J.Sabuncuoglu, Ihsan2016-02-082016-02-0819910305-0548http://hdl.handle.net/11693/26187Artificial 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.EnglishMaps and mappingPure pursuit maneuversNeural networksArticle10.1016/0305-0548(91)90095-9