通过对设计参数的模糊分析建立模糊隶属函数,由模糊集合扩展理论求取设计参数的优化值。
In this paper, the fuzzy membership function is built by analysis on design parameters' fuzzy attribution, and optimization values are obtained on the basis of fuzzy aggregate expand theory.
通过优化模糊pi控制器的量化因子和比例因子,从而优化隶属函数,使控制系统具有很好的稳态和动态性能。
Though optimizing quantification factor and proportionality factor of Fuzzy-PI controller, optimizing the membership function, then make the system response has good dynamic and steady performance.
模糊优化算法中隶属函数的确定及专家系统中专家的知识、经验和规则的获取都是棘手的问题。
It is difficult to determine the membership function in fuzzy optimization method and to obtain the knowledge, experience and rules in expert system.
通过对各目标实现程度的隶属函数进行定义,将多目标优化问题转变成模糊规划问题进行求解。
By defining the membership function of the realization extent of each objective, the multi-objective optimization problem has been turned into a fuzzy programming problem to be solved.
然后结合隶属度变量构建优化模型,利用具有动态惩罚函数的遗传算法求解,计算得到各方案的所属类别。
Then optimization model with the membership degree is constructed. It is solved by using genetic algorithms with dynamical castigatory function.
文中采用计算机自适应的最小二乘优化方法实现模糊诊断系统隶属度函数的机器自学习功能。
The least square method of computer adaptation is applied to complete the function of computer self-learning of membership function in fuzzy diagnosis system.
用此方法,可以优化确定系统输入和输出变量的隶属函数以及模糊控制规则。
By this means, the membership functions of input and output variables and the fuzzy control laws can be optimized.
提出一种面向城域单交叉路口的自适应分级模糊控制系统,采用进化策略对分级模糊控制器的模糊隶属度函数进行离线优化调整。
A hierarchical adaptive fuzzy control system for an isolated urban traffic intersection is proposed, and an evolution strategy is used to modify the fuzzy membership functions of the system.
该算法分别采用神经网络模型进行模糊集隶属函数的表达及优化问题的求解,从而将模糊优化同神经网络有机地结合起来。
A new algorithm based on neural network models is also presented, in which the neural networks are employed to express the membership function of fuzzy sets and solve the optimization problems.
所以,本论文最后采用了遗传算法对输入输出语言变量的隶属函数进行优化以改善模糊控制器的性能。
So, at last, Genetic Algorithms are capitalized on to optimize the membership functions of the input and output linguistic variables of the fuzzy controller so as to better its performance.
同时,应用神经网络的学习和记忆功能,对控制变量的隶属函数和控制规则进行优化,使控制方案更趋于合理。
At the same time, using the study and memory ability of neural networks, optimize subject function and control rules of control variables, which makes the control scheme more reasonable.
考虑结构设计变量和多阶固有频率优化目标都具有模糊性,以适当方式形成了它们各自的隶属函数。
The multiobjective and design variables with fuzzy features are considered in this paper. Their fuzzy membership functions are formed in fitness patterns.
最后以虚拟车削为例,给出了优化数学模型的建立及模糊约束条件隶属函数。
At last, taking virtual turning for example, mathematical model and the restriction functions are given.
然后将模糊优化与禁忌搜索算法相结合,建立了综合满意度模糊隶属度函数,将模糊优化应用于两相永磁同步电动机。
The combination of Tabu algorithm and fuzzy optimization is successfully applied to the motor optimization and the availability is proved by the optimized result.
通过应用压缩宽度隶属函数,而不需要优化众多的隶属函数参数,模糊控制器就有足够的能力来解决实际应用中所遇到的复杂控制问题。
This gives the FLC more power to deal with the complex control problems by using the SSMFs, which need not to optimize so many parameters laboriously.
通过应用压缩宽度隶属函数,而不需要优化众多的隶属函数参数,模糊控制器就有足够的能力来解决实际应用中所遇到的复杂控制问题。
This gives the FLC more power to deal with the complex control problems by using the SSMFs, which need not to optimize so many parameters laboriously.
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