摘要
以短跑项目为例,从决定短跑运动员的影响因素出发,构造了用于确定短跑运动员训练计划的人工神经网络模型.该系统可以借助现有优秀短跑运动员的训练计划建立相应的神经网络模型,以便针对具体的训练对象制订合理的训练计划.由于神经网络模型所固有的泛化功能,即使在提供信息不完备或存在明显的误差等情况下,上述模型制订的训练计划仍有一定的指导意义.
It is an important element to identify the rationality of the training plan and process in modern sports. This paper takes the sprint as an example, and constructs an artificial neural network model considering some determinant factors influencing sprint athletes. The system sets up the artificial neural network model with the help of the plan of training present excellent sprint athletes, in order to ensure the specific rational training plan for specific objects. Due to the extensive function of the neural network, the training plan based on the constructed model is of great significance in direction even if there are sometimes circumstances with insufficient information or obvious measuring errors.
出处
《宁夏大学学报(自然科学版)》
CAS
北大核心
2007年第4期408-410,共3页
Journal of Ningxia University(Natural Science Edition)
关键词
神经网络
合理性
训练计划
构建模型
neural network
rationality
training plan
constructing model