Greyhound Racing Using Neural Networks: A Case Study

  • Robert P. Schumaker
  • Osama K. Solieman
  • Hsinchun Chen
Part of the Integrated Series in Information Systems book series (ISIS, volume 26)


Uncertainty is inevitable in problem solving and decision making. One way to reduce it is by seeking the advice of an expert. When we use computers to reduce uncertainty, the computer itself can become an “expert” in a specific field through a variety of methods. One such method is machine learning, which involves using a computer algorithm to capture hidden knowledge from data. Machine learning usually encompasses different types of solutions, such as decision trees, production rules, and neural networks.


Human Expert Hide Unit Fast Time Monetary Payoff Hide Knowledge 
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Copyright information

© Springer US 2010

Authors and Affiliations

  • Robert P. Schumaker
    • 1
  • Osama K. Solieman
    • 2
  • Hsinchun Chen
    • 3
  1. 1.Cleveland State UniversityClevelandUSA
  2. 2.TucsonUSA
  3. 3.University of ArizonaTucsonUSA

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