110m Hurdler competitive ability and performance prediction research based on fuzzy neural network

Hongcai Zheng

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110m Hurdler competitive ability and performance prediction research based on fuzzy neural network

机译：基于模糊神经网络的110m赫德勒比赛能力和成绩预测研究

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Take Liu Xiang specific performance prediction as research object, on the basis of fuzzy neural networkmethod, it collects 70 times???? Liu Xiang 110m hurdle performance in 2000 to 2010 composing data set, establish fuzzy neural network prediction model after normalization processing of the previous 60 times???? performance, and make prediction on final 10 times???? performance. Result shows that the fuzzy neural network predictionmethod is effective, LiuXiang 110mhurdle performance prediction is basic correct, it can provide theoretical reference for its training and even other excellent hurdlers???? training.

机译：以刘翔具体的性能预测为研究对象，在模糊神经网络方法的基础上，收集了70次？刘翔在2000年至2010年110m跨栏表现组成数据集，经过前60次归一化处理后建立了模糊神经网络预测模型。性能，并对最终10次做出预测？???性能。结果表明，模糊神经网络的预测方法是有效的，六项110跨栏性能预测是基本正确的，可以为训练甚至其他优秀的跨栏运动提供理论参考。训练。

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《BioTechnology: An Indian Journal》 |2014年第2期|共6页
作者
Hongcai Zheng;
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中图分类生物工程学（生物技术）;
关键词
Normalization processMATLABFuzzy neural networkPredictionmodel;

机译：归一化过程MATLAB模糊神经网络预测模型;

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110m Hurdler competitive ability and performance prediction research based on fuzzy neural network

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