摘要
文章基于模糊神经网络理论,提出了一种适用于体育动作特征量化分析的人体层次结构模型、运动特征和状态特征的模糊表示方法。文中定义了肢体运动和体育动作模式匹配的隶属函数,介绍了神经网络的学习方法。
This paper is based on fuzzy neural network,and works out framework patter and the method to fuzzy expressing sporting characteristic and formal characteristic for quantization of athletic movements.In the paper,the membership functions of limb sports and matching athletic movements are defined,and the study method of neural network is introduced.
出处
《计算机工程与应用》
CSCD
北大核心
2000年第6期155-157,共3页
Computer Engineering and Applications
基金
河南省科委自然科学基金
关键词
模糊神经网络
体育动作
模式识别
隶属函数
fuzzy neural network, motional characteristic, recognizing model, membership function