Allinson, N. M. and Merritt, D.
(1991)
Successful prediction of horse racing results using a neural network.
In: IEE Colloquium on Neural Networks: Design Techniques and Tools, 12 March 1991, London.
Full content URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn...
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| Item Type: | Conference or Workshop contribution (Paper) |
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| Item Status: | Live Archive |
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Abstract
Most application work within neural computing continues to employ multi-layer perceptrons (MLP). Though many variations of the fully interconnected feed-forward MLP, and even more variations of the back propagation learning rule, exist; the first section of the paper attempts to highlight several properties of these standard networks. The second section outlines an application-namely the prediction of horse racing results
| Additional Information: | Most application work within neural computing continues to employ multi-layer perceptrons (MLP). Though many variations of the fully interconnected feed-forward MLP, and even more variations of the back propagation learning rule, exist; the first section of the paper attempts to highlight several properties of these standard networks. The second section outlines an application-namely the prediction of horse racing results |
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| Keywords: | neural nets, feedforward networks, prediction |
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| Subjects: | G Mathematical and Computer Sciences > G730 Neural Computing |
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| Divisions: | College of Science > School of Computer Science |
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| Related URLs: | |
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| ID Code: | 5069 |
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| Deposited On: | 20 Apr 2012 11:40 |
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