Open Access Open Access  Restricted Access Subscription or Fee Access

Jump Performance Prediction Model Based On BP Neural Network

Bing Zhang, Weiqi Jiang

Abstract


There are many factors to influence sports result, traditional performance prediction method is hard to get satisfied results. This paper USES the long jump athletes special grades and quality training level, the re-lationship between the with the powerful nonlinear mapping ability of BP neural network, puts forward the broad-jump athlete special grades to neural network prediction model. Make up for the deficiency of the traditional prediction method, the model makes full use of the data contained in the message. Com-pared with the traditional prediction method, the accuracy of the predicted results is greatly improved. In order to solve the field complex difficult problem to solve with traditional mathematical methods provide a new thought and method So as to provide theoretical basis for scientific training for athletes.

Keywords


BP neural network, long jump, special achievements, forecasting model.

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.