通过选择适当的结构元素进行系列形态组合运算，自适应确定阈值，提取目标；
Serial morphology operations by choosing the proper structure element to confirm threshold value and extract the target are carried out.
由于预先运用基于FCM的自适应模糊聚类方法确定模糊神经元网络合理的结构，并设置网络的初始权值，从而可提高网络的训练速度。
Since an FCM based self adaptive fuzzy clustering technique is employed to determine the proper structure of the FNN and set the initial weights in advance, the network can be trained rapidly.
然后，基于视频序列的运动特征，自适应确定帧组结构，在提高编码效率的同时降低内存需求和运算复杂度。
Then an adaptive group of pictures structure according to characteristics of motion can increase the coding efficiency and reduce computational complexity and memory requirement at the same time.
自适应控制对这样的驱动器故障补偿方案是一个合适的选择，它能够适应系统参数、结构和环境的不确定性。
Adaptive control, which is capable of accommodating system parametric, structural, and environmental uncertainties, is a suitable choice for such actuator failures compensation schemes.
所提出的近似自适应变结构控制器可以避免控制器中的不连续继电项，同时不必已知系统不确定性范数界。
Then, the normal variable structure controller (VSC) and the adaptive variable structure controller with the estimation for the upper norms of uncertainties are presented.
讨论了具有不确定性时滞及仿射结构不确定系统的简易自适应控制问题。
This paper proposes a simple adaptive control (SAC) system design approach for processes with uncertain time delay and Affine linear structured uncertainty.
提出一种基于步态规划分级结构的自适应网络模糊推理系统控制策略，该方法不需要确定双足机器人运动学和动力学模型。
Proposed an adaptive network fuzzy inference system control strategy based on hierarchy structure of gait planning, which do not require detailed kinematics or dynamic biped models.
提出一种基于步态规划分级结构的自适应网络模糊推理系统控制策略，该方法不需要确定双足机器人运动学和动力学模型。
Proposed an adaptive network fuzzy inference system control strategy based on hierarchy structure of gait planning, which do not require detailed kinematics or dynamic biped models.
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