情绪波动对运动效果预测优化建模仿真

Mood swings the Movement Effect Prediction Optimization Modeling and Simulation

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。

It can make reasonable psychological counseling to athlete to analyze the effect on exercise effect prediction of mood swing accurately. This paper proposed an optimization modeling method of influence prediction of mood swing on exercise effect based on hybrid particle. Firstly, we mapped the emotion elicitation region to nuclear space to obtain the physiological change factors of heartbeat, breathe and galvanic skin integrating chaos theory with particle theory. The motion unit responds to the first emotional stimuli and the second emotional stimuli in the emo- tion elicitation region. Then we used the theory of support vector machine to obtain the same physiological component of transmitting of emotion signal in brain and transmitting in brain - body loop system. The influence feature on exer- cise effect of mood swing was extracted to build the objective function. We also got the globally optimal solution. Finally, we built the influence model of mood swing on exercise effect. The simulation results show that the modified model has high precision. It can predict the influence of mood swing on exercise effect accurately.