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- 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。
- neural fuzzy controller 神经模糊控制器
- Neural fuzzy control 神经模糊控制
- Neural fuzzy control(NFC) 神经模糊控制
- Pappis and English Fuzzy Control expert E. Pappis和英国模糊控制专家E.
- Control theory application, such as PID control, digital control redesign, neural and fuzzy control, optimal and robust control. 以上之基础皆运用在控制系统的应用以及设计上。
- In this paper, a method of combination of the fuzzy controller and neural network predictor which is applied for the process in L isoleucine fermentation is presented. 运用智能控制的方法研究了L异亮氨酸发酵过程的控制。利用神经网络准确地预测发酵趋势,实时获取生化变量的预测值。
- A parallel control method based on RBF neural network and fuzzy control for nonlinear and time-variant performance of motor servo systems is presented. 摘要针对电动伺服系统的非线性和时变性因素，提出了一种RBF神经网络和模糊控制复合控制的控制器。
- This thesis will bring into play the merits of aritificial intelligence, applying neural networks control and fuzzy control to optimize cement kiln. 本学位论文发挥智能控制理论的特点，将神经网络控制和模糊控制应用到水泥窑的优化控制中。
- We will then show how to design a fuzzy controller for the system. 随后我们将展示如何为系统设计一个模糊控制装置。
- In the end,it points out that fuzzy neural control,adaptive fuzzy control and fuzzy rough control are the available methods in the analysis and design of complex control syst. 最后，对模糊控制的研究进行了展望，指出了模糊-神经技术和自适应模糊控制、模糊-粗糙控制等必将成为解决复杂系统控制的有效途径。
- C. T. Lin and C. S. G. Lee, Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems, Preutice-Hall, 1996. 林法正，魏荣宗与段柔勇，超音波马达之驱动与智慧型控制，沧海书局。
- This paper put forward fuzzy control based on neural net, it influxes the advantage of fuzzy logic and neural net, gathers learning, association and self-adaptation together. 本论文提出了基于神经网络的模糊逻辑控制，它汇集了模糊逻辑与神经网络各自的优点，集学习、联想、自适应于一体。
- Based on a neural network and the fuzzy control theory, this paper presents a self-organizing fuzzy-neural network for nonlinear systems，and develops a new learning algorithm. 基于人工神经网络与模糊控制理论，对非线性系统提出了一种自组织模糊神经网络模型，并推导出一类新型学习算法。
- Adaptive neural fuzzy inference system(ANFIS), as a local approximation approach, could be used to model the quantitative structure-activity relationship (QSAR) of medicine. 作为一种局部逼近方法,自适应神经模糊推理系统(ANFIS)适于为药物定量构效关系(QSAR)建模。
- Design of the fuzzy control system over the body vibration of diesel engine. 柴油机整机振动单片机模糊控制系统的设计。
- The Higher-order CMAC neural network fuzzy controller for depth control of Autonomous Underwater Vehicle (AUV) is trained from example pairs which are produced by fuzzy depth controller of AUV. 利用高阶CMAC神经网络对水下机器人模糊深度控制器进行了学习。
- The two-level handstand pendulum system based on fuzzy control is designed. 建立了一套完整的二级倒立摆的实物系统。
- A rule-based hammerer model was proposed on the basis of fuzzy control theory. 基于模糊控制理论建立了锻工模型；
- The design of software adopts breakoff structure and fuzzy control arithmetic. 系统软件设计采用定时中断的结构,核心为模糊控制器的实现。
