节点文献
神经网络模型在竞技运动理论中的应用
APPLICATION OF NEURAL NETWORK MODEL TO THE THEORY OF ATHLETIC SPORTS
【摘要】 在体育理论的研究中, 往往是利用回归模型或灰色模型对运动成绩进行预测. 本文把神经网络模型方法引入体育研究中, 利用前传网络(Feed_forward Network) 进行三级跳远成绩预测,得到了良好的拟合结果. 我们认为, 通过建立神经网络模型去研究运动竞技训练理论是有意义的,值得进一步探讨和研究
【Abstract】 The mathematical methods which are usually used to predict the athletic sports are the model of regression and grey model. In this paper, the method of neural network is used to study athletic problems. We use Feed_Forward Network to predict the score of triple jump. The result is good. It is effective to apply the neural network to study the theory of athletic sports. The method of neural network is especially useful to the study of nonlinear problems.
- 【文献出处】 华南理工大学学报(自然科学版) ,JOURNAL OF SOUTH CHINA UNIVERSITY OF TECHNOLOGY(NATURAL SCIENCE) , 编辑部邮箱 ,1999年09期
- 【分类号】TP183
- 【被引频次】8
- 【下载频次】121