| 1. | A fuzzy neural network controller with simplified rules
一种规则简化的模糊神经网络控制器 |
| 2. | An optimal fuzzy neural network controller
一种最优模糊神经网络控制器 |
| 3. | Optimization design of fuzzy neural networks controller parameter based on chaos
模糊神经网络控制器参数的混沌优化 |
| 4. | Hybrid tuning of fuzzy - neural controller based on genetic algorithm and backpropogation
算法复合调节的模糊神经网络控制器 |
| 5. | The paper introduces the designing of a fuzzy neural network controller which is applied to the valve position control system of industrial stove
摘要介绍模糊神经网络控制器的设计方法，并将其应用到工业炉阀门位置的控制系统中。 |
| 6. | 4 . combine the constant impedance controller with the schemes mentioned above . an new intelligent controller of efa is proposed
即利用前向神经网络控制器和模糊神经网络控制器来替代原有经典恒阻抗控制器，并进行了系统仿真的研究。 |
| 7. | Besides , an adaptive neural fuzzy control method is proposed to control the system , simulation results show the control method can better improve the steering portability and sensitiveness
本文对电动助力转向系统设计了自适应模糊神经网络控制器，仿真结果表明该控制器能较好提高汽车转向时的轻便性和灵敏性。 |
| 8. | The paper designs fuzzy neural networks controller based on sugeno fuzzy model and applies the improved genetic algorithms to tune the networks parameters and membership functions of the designed fuzzy neural networks controller
本文应用sugeno模糊模型构造了模糊神经网络控制器，并采用改进后的遗传算法对模糊神经网络控制器当中的参数和隶属函数进行了学习和优化。 |
| 9. | At the same time attempting and groping for the combination of fuzzy logic control and neural network algorithm , putting forward the fuzzy neural network structure and control algorithm that is in series and validating it in practice
在模糊逻辑控制与神经网络计算相结合方面作了尝试和探索。提出了网络学习型的模糊神经网络控制器以及相应的学习算法，并在实践中进行了验证。 |
| 10. | ( 5 ) based on fuzzy control theory , fuzzy neural network ( fnn ) controller is introduced ; the changeable area and hierarchical genetic algorithm is used to training fuzzy neural network . simulation indicated that this designed fuzzy neural controller is effective
( 5 )在模糊控制的基础上，提出了模糊神经网络控制器，并用本文提出的变区域多层遗传算法与bp相结合进行网络学习，在理论上证明了遗传学习算法的收敛性。 |
