改进的混沌预测方法在瓦斯监测中的应用

The Application of Improved Chaotic Forecasting Method in Monitoring Gas

本章提出一种新的Lyapunov指数计算方法,具体做法是根据瓦斯样本数据的混沌时间序列,计算其最大Lyapunov指数,然后利用最大Lyapunov指数的一阶预测模式进行预测。实验结果表明,该方法对小数据组可靠,而且容易操作,具有很强的自适应能力和鲁棒性、精度高、通用性强等优点。

The paper uses lyapunov exponential to predicate the gas concentration in short time. This lyapunov exponential is bases on mini size information. The method is using actual gas dates time sequence,and work out max-lyapunov exponential. The max-lyapunov exponential is the predicate foundation. The result indicates that this method is trustiness,easy to operate,high precision.