The Forming And Application Of Aerobics Forecasting Mock-up Based On Atificial Neural Networks

Research purposesMake connections of Morphological diathesis index and achievement to form a forecasting model.It can evaluate a athlete`s diathesis level and guide a coach hao to arrange daily training scheme.So we can make the training scheme's more and more reasonable.Research methodsThis paper take 32 outstanding young athelete of Hubei Province as the research object. Mainly using Artificial Neural Networks and the theory analytic method, taking the related theory of sports biology mechanics and symbolic logic as the basis, to build up aerobics forecasting mock-up.Research results1.Building up a system on how to calculate a aerobics athelete.Though this way,we can forecast an athelete's score by check his/her some tipical action.So we have a identic standard to estimate an athlete's level.2.Through Pearson correlation and Hierarchical Cluster analysis,we get six index.They can roundly reflect an athelete's body diathesis.These index are inportant to one's sport ability.3.Buling up a formular what's independent variable are Morphological diathesis index and corresponding variable is one's grade.Conclusion1.This paper chose twelve difficult action from 307 prescriptive action.Then shap a evaluating sheet of how to measure a thelet's capability.Finally though feasibility prove.It can reflect a athelet's ability accurately.2.Make relation analysis and Hierarchical Cluster analysis to 32 index.Then choose 6 index to form the forcast system.They are standing long jump,800m run, longitudinal splits index, 15 second high-speed kick up , right-angle sustaining, 15 second single arm push-up .3. Buling up a forcasting modle using Artificial Neural Networks,and checkout its dependability.Then calculate its forcasting error.The result shows that ANNs modle have the better precision compared to regressive modle.4. Indicating the applications of this forcasting system on aerobics'training and choosing professional athlete...