实现了一种新的基于遗传算法和梯度下降方法的快速模糊系统学习算法。
Moreover, a new fast learning method of fuzzy systems both based on genetic algorithms and gradient method is proposed.
本文对于复杂的多自由度非线性振动系统提出了基于遗传算法的主动模糊控制方法。
In this paper, a fuzzy logic control based on genetic algorithms for complex nonlinear vibration systems of multiple degree of freedom is proposed.
针对互联电力系统自动发电控制(agc)，结合模糊控制和遗传算法提出一种新型的PID智能控制器。
A new PID intelligent controller is proposed, combined with fuzzy logic controls and genetic algorithms, for AGC of interconnected power systems.
本文应用基于遗传算法的模糊神经网络方法，建立了科研项目立项评审的智能管理系统。
An approach to the technology with fuzzy systems, neural networks and genetic algorithms is given.
在这里的战略，提出了基于遗传算法设计模糊控制器的多输入多输出(MIMO)结构的磁流变阻尼器系统。
A strategy based on genetic algorithms to design a fuzzy controller of a multi-input-multi-output (MIMO) structure-MR dampers system was presented here.
这里介绍了遗传模糊系统的各种模型和应用领域，分析了此领域的研究方向和趋势。
It gives a brief introduction to models and applications of genetic fuzzy systems, and analyses the directions and trends of research on fuzzy systems.
本论文对包含遗传算法、模糊逻辑控制和神经网络的软计算的智能控制及其几种不同结合方式做了较为系统的研究。
In this thesis, soft computing based control algorithms including genetic algorithms (GA), fuzzy control, neural networks (NN) and their different combinations are discussed systematically.
此外，通过遗传算法对模糊神经网络的学习速率和惯性系数等进行了优化，为控制系统实现最优控制提供了有力保证。
In addition, the paper makes use of Genetic Algorithms to optimize learning rates and inertia coefficients of Fuzzy-neural network, which can ensure that the controller achieves optimization control.
针对复杂系统的模糊建模问题，提出了一种遗传-模糊建模新方法。
In this paper, we present a novel genetic-fuzzy modeling method for complex systems.
最后，本文对以上控制器组成的控制系统分别进行了仿真，并分析了遗传算法模糊pid控制器在实际系统上应用的可行性和优越性。
At last, this thesis simulates the above control systems, and analyzes the feasibility and advantage of GA fuzzy-PID controller according to the practical applications.
最后，本文对以上控制器组成的控制系统分别进行了仿真，并分析了遗传算法模糊pid控制器在实际系统上应用的可行性和优越性。
At last, this thesis simulates the above control systems, and analyzes the feasibility and advantage of GA fuzzy-PID controller according to the practical applications.
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