Training an artificial neural network the pure pursuit maneuver
Computers and Operations Research
343 - 353
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Please cite this item using this persistent URLhttp://hdl.handle.net/11693/26187
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. © 1991.