Forecast of athletic achievements based on artificial neural networks
Introduction
Artificial Neural Network-ANN is a network information system which is build on the basis of brain feedback information, this system has high nonlinear disposal ability. The article adopts the BP method of artificial neural network to forecast athletic achievements.
Methods
BP method of artificial neural network, mathematical method
Results
1. Forecast of Athletic Achievements
To illustrate this method, we build a model by the means of numerical value test. We take the national backstroke record from1991 to 1997 as learning stylebooks, to forecast later year`s achievement. In this model, we forecast the achievement of later l year (l=1) according to the achievement of former m year (m=3).
© Copyright 2004 Pre-olympic Congress 2004. Thessaloniki, Grécia. de 6 a 11 de Agosto de 2004. Published by ICSSPE. All rights reserved.
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| Notations: | training science technical and natural sciences |
| Published in: | Pre-olympic Congress 2004. Thessaloniki, Grécia. de 6 a 11 de Agosto de 2004 |
| Language: | English |
| Published: |
Thessaloniki
ICSSPE
2004
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| Online Access: | https://cev.org.br/biblioteca/forecast-of-athletic-achievements-based-on-artificial-neural-networks |
| Pages: | O.196 |
| Document types: | electronical publication |
| Level: | advanced |