设计了一种基于RBF网络和遗传优化的船舶操纵模糊控制器。
A fuzzy controller for ship steering based on RBF networks and genetic algorithms is designed.
此外，该软件也可作为遗传优化和模糊控制器设计的辅助教学软件。
Besides, this software can also be used to computer aided instruction in the integrated optimal design of a fuzzy controller.
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.
首先，我们根据飞行员的驾驶经验构造了一个模糊控制器，并用遗传算法对其进行优化。
First, a fuzzy controller is constructed according to pilot's driving experience and the parameters are optimized via the genetic algorithms.
热处理炉空气、燃料的控制均采用遗传算法优化的PI控制，炉体温度控制采用自适应的遗传模糊控制器。
Air and fuel controlling of this stove are realized by PI controller, and temperature controlling adopts self adaptive genetic fuzzy controller.
提出了一种解析规则模糊控制器的改进结构，并引入了能够动态调整模糊控制规则的修正函数；同时，通过遗传算法，实现了模糊控制器控制参数的组合优化设计。
An improved structure of analytic expression based fuzzy controller is proposed, and a modifying function capable of regulating the fuzzy control rules dynamically is introduced.
提出了一种解析规则模糊控制器的改进结构，并引入了能够动态调整模糊控制规则的修正函数；同时，通过遗传算法，实现了模糊控制器控制参数的组合优化设计。
An improved structure of analytic expression based fuzzy controller is proposed, and a modifying function capable of regulating the fuzzy control rules dynamically is introduced.
应用推荐