The essence of the gray prediction model is to fit the known data sequence with an exponent form to a curve, and then extend the curve to the future in order to predict the unknown data.
灰色系统预测模型的本质是对已知数据序列进行类型为指数形式的曲线拟合，然后将此曲线延伸到未来，由此对未知的数据做出预测。
Based on conditional Lyapunov exponent, the impulsive synchronization form and interval of chaotic systems are studied, which breaks the traditional basic assumptions.
基于条件李亚普诺夫指数，对混沌系统的脉冲同步形式和同步范围进行了研究，突破了传统的基本假设。
It is proved that the degree distribution of the network obeys power-law form with the exponent-3, and the mean connected degree is given value.
通过速率方程证明了该网络是节点度分布符合幂律分布的无标度网络，其幂指数为- 3，且平均连接度为给定值。
应用推荐