模糊运算 meaning in Chinese
blurring operation
Examples
- With the help of fuzzy calendar algebra and fuzzy operators , it is easy to describe desired temporal requirements
摘要借助模糊概念和模糊运算，对时间区间的描述很容易实现。 - Also , nueral network is good at self - learning , memory and soft operation so that it can find unknown attack type except for the familiar
而且神经网络具有自学习、记忆和模糊运算能力,所以使得神经网络不仅能检测出已有的攻击模式,而且还能检测出未知的攻击模式。 - An idea , simulating the fuzzy model by establishing the fuzzy model and fuzzy control rule of the controlled object is proposed . generally , it is difficult to acquire the accurate mathematical description of the controlled object . a dynamic modulating factor is introduced in the designing of the fuzzy controller so as to improve the precision of the fuzzy control . and a more convenient defuzzify calculation method is adopted . the cart and the single inverted pendulum are taken so as to illustrate the simulation result . in addition , the detailed qualitative analysis of the fuzzy system is achieved . a kind of common method of qualitative analysis is proposed . it can be used to analyse the fuzzy system and describe the behavior of the system state precisely in the phase plane . the simulating results illustrated the method is feasible and available
提出了在难以精确描述控制对象数学模型的情况下，通过建立控制对象的模糊模型来确定系统的模糊控制规则，并对模糊系统进行仿真分析的思想.利用连续系统定性分析的思想，提出一种对模糊系统进行定性分析的可行方法,在相平面内较为准确地刻画模糊系统的动态行为.在模糊控制器的设计中，引入动态调节因子来提高模糊控制的精度，并采用了一种便于实际运算操作的解模糊运算方法.在一种简单的控制对象情况下进行了具体的仿真计算，得到较理想的控制效果.此外对具有精确数学模型的一级倒立摆系统进行此种模糊控制，亦取得很好的仿真结果 - Chapter 4 introduces the use of weighted least square generalized svm for optimal control systems . weighted least square svm for robust regression estimation is generalized and then used to solve n - step optimal control problem based on the svm . the weights are determined by fuzzy method
4 .加权ls一svm可以对回归估计问题实现鲁棒估计，把它同基于ls一svm的n步最优控制想法相结合，将其扩展到基于加权最小二乘广义svm ，并应用于n步最优控制问题，确定加权因子采用了模糊运算的办法。