情绪波动对运动效果预测优化建模仿真
发布时间：2018-08-09 11:58
【摘要】：进行情绪波动对运动效果预测的影响进行准确分析,可更合理对运动员进行心理疏导。进行情绪波动对运动效果预测的影响建模时,需要提取情绪波动对运动效果的影响特征,获取情绪波动对运动效果的影响目标函数,求解情绪波动对运动效果的影响全局最优解,传统方法通过分析不同的情绪特征影响下的行为特点,并对运动效果预测,不能提取情绪波动对运动效果预测的影响特征,无法获取情绪波动对运动效果的影响最优解,降低了预测效果。提出一种基于混合粒子的情绪波动对运动效果的影响预测优化建模方法。首先将混沌理论和粒子理论有机相结合,将运动个体对一级情绪刺激物和二级情绪刺激物做出反应的情绪诱发区域映射至核空间,获取运动躯体的心跳,呼吸,皮肤电等生理变化因素,然后利用支持向量机理论获取大脑中情绪信号的传递与大脑一躯体环路系统中的传递相同生理成分,提取情绪波动对运动效果的影响特征,组建情绪波动对运动效果的影响目标函数,并进行求解情绪波动对运动效果的影响全局最优解,组建情绪波动对运动效果预测的影响模型。仿真结果表明,改进模型具有精确、误差小等优点,可以准确地进行情绪波动对运动效果的预测。
[Abstract]:It is more reasonable to conduct psychological counseling for athletes by accurately analyzing the influence of emotion fluctuation on sports effect prediction. When modeling the effect of emotion fluctuation on motion effect prediction, it is necessary to extract the influence characteristics of emotion fluctuation on motion effect, and obtain the objective function of emotion fluctuation effect on motion effect. In order to solve the global optimal solution of the effect of emotion fluctuation on exercise effect, the traditional method can not extract the influence characteristics of emotion fluctuation on motion effect prediction by analyzing the behavior characteristics under different emotional characteristics and predicting the motion effect. The optimal solution of the effect of emotion fluctuation on exercise effect can not be obtained, and the prediction effect is reduced. An optimal modeling method for predicting the effect of emotion fluctuation on motion effect based on mixed particles is proposed. Firstly, the chaotic theory and particle theory are combined to map the emotional evoked region of the individual's response to the first-order and second-order emotional stimuli to the nuclear space to obtain the heartbeat and respiration of the motor body. Then using the support vector machine theory to obtain the same physiological components of the brain emotional signal transmission as the cerebral-somatic loop system, and to extract the characteristics of the effect of emotion fluctuation on the movement effect. The objective function of the effect of emotion fluctuation on exercise effect is established, and the global optimal solution of the influence of emotion fluctuation on exercise effect is solved, and the influence model of emotion fluctuation on motion effect prediction is established. The simulation results show that the improved model has the advantages of accuracy and small error, and it can accurately predict the effect of emotion fluctuation on motion.
【作者单位】： 山东体育学院运动基础科学学院;山东建筑大学法学院;
【分类号】：B842.6
，
本文编号：2174005
[Abstract]:It is more reasonable to conduct psychological counseling for athletes by accurately analyzing the influence of emotion fluctuation on sports effect prediction. When modeling the effect of emotion fluctuation on motion effect prediction, it is necessary to extract the influence characteristics of emotion fluctuation on motion effect, and obtain the objective function of emotion fluctuation effect on motion effect. In order to solve the global optimal solution of the effect of emotion fluctuation on exercise effect, the traditional method can not extract the influence characteristics of emotion fluctuation on motion effect prediction by analyzing the behavior characteristics under different emotional characteristics and predicting the motion effect. The optimal solution of the effect of emotion fluctuation on exercise effect can not be obtained, and the prediction effect is reduced. An optimal modeling method for predicting the effect of emotion fluctuation on motion effect based on mixed particles is proposed. Firstly, the chaotic theory and particle theory are combined to map the emotional evoked region of the individual's response to the first-order and second-order emotional stimuli to the nuclear space to obtain the heartbeat and respiration of the motor body. Then using the support vector machine theory to obtain the same physiological components of the brain emotional signal transmission as the cerebral-somatic loop system, and to extract the characteristics of the effect of emotion fluctuation on the movement effect. The objective function of the effect of emotion fluctuation on exercise effect is established, and the global optimal solution of the influence of emotion fluctuation on exercise effect is solved, and the influence model of emotion fluctuation on motion effect prediction is established. The simulation results show that the improved model has the advantages of accuracy and small error, and it can accurately predict the effect of emotion fluctuation on motion.
【作者单位】： 山东体育学院运动基础科学学院;山东建筑大学法学院;
【分类号】：B842.6
，
本文编号：2174005
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