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Supervised Learning with Artificial Neural Networks
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Author(s): Darryl Charles (University of Ulster, Ireland), Colin Fyfe (University of Paisley, UK), Daniel Livingstone (University of Paisley, UK)and Stephen McGlinchey (University of Paisley, UK)
Copyright: 2008
Pages: 17
Source title:
Biologically Inspired Artificial Intelligence for Computer Games
Source Author(s)/Editor(s): Darryl Charles (University of Ulster, Ireland), Colin Fyfe (University of Paisley, UK), Daniel Livingstone (University of Paisley, UK)and Stephen McGlinchey (University of Paisley, UK)
DOI: 10.4018/978-1-59140-646-4.ch003
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Abstract
In this chapter we will look at supervised learning in more detail, beginning with one of the simplest (and earliest) supervised neural learning algorithms – the Delta Rule. The objectives of this chapter are to provide a solid grounding in the theory and practice of problem solving with artificial neural networks – and an appreciation of some of the challenges and practicalities involved in their use.
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