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- 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。
- 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。
- Fuzzy predictive PID controller based on output-error. 基于输出误差预测的模糊预测PID控制及应用。
- The model is suitable for fuzzy prediction and control of complex system because the recognition method of fuzzy module parameters based on the theory of neural network is adopted. 该模型采用基于神经网路理论的模糊模型参数辨识方法,很适合于复杂系统的模糊预测和控制。
- 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。
- adaptive neural fuzzy inference system 自适应神经模糊推理系统
- adaptive neural fuzzy inference system (ANFIS) 自适应模糊神经系统（ANFIS）
- Adaptive Neural Fuzzy Inference System(ANFIS) 神经模糊推理系统
- Adaptive Neural Fuzzy Inference System(ANFlS) 自适应模糊神经网络推理系统
- Fuzzy prediction control (FPC) is a new control algorithm developed in recent years. It is the combination of fuzzy control and prediction control. 模糊预测控制 (FPC)是近年来发展起来的新型控制算法 ,是模糊控制与预测控制相结合的产物。
- Fuzzy predictive control(FPC) is a new control algorithm developed in recent years.It is the combination of fuzzy control and predictive control. 模糊预测控制(FPC)是近年来发展起来的新型控制算法,是模糊控制和预测控制相结合的产物。
- Using the step response behavior of inertia process and the superposition theorem of linear system, this paper puts forward a fuzzy predictive model of dead-time processes. 利用惯性过程的阶跃响应特性和线性系统中的叠加原理，提出了纯滞后过程的模糊预估模型。
- This paper presents a new fuzzy predictive control method for the MOCVD device control system set to handle the non-linearity,time variability and large delay of plant controls. 为解决金属有机化合物化学气相淀积(MOCVD)设备温度控制的非线性、时变性以及大滞后等问题,给出了一种用模糊控制和预测控制相结合的复合控制方法。
- Neural Fuzzy Logic Control for Gas Tungsten Arc Welding 弧焊过程神经网络模糊控制
- the neural fuzzy CCS based on PID-decoupling control system. 基于PID-解耦控制的神经模糊-解耦协调控制系统。
- Based on studying status of ATO, fuzzy prediction control and automatic control algorithm, the application and simulation of fuzzy prediction control to ATO were further studied in the paper. 本文在总结了国内外的列车自动驾驶技术、模糊预测控制技术和列车自动控制算法的研究现状的基础上,对模糊预测控制在列车自动驾驶系统中的应用和仿真进行了深入研究。
- The application of fuzzy prediction control to ATO system not only enriches the theory of fuzzy prediction control, but also offers a new method for train operation with high quality. 将模糊预测控制应用于列车自动驾驶系统,既充实了模糊预测控制理论,又为实现列车运行过程的高品质控制提供了一种新方法。
- Yang Xinmiao, Wang Wei. Applying Fuzzy Neural Networks to Predict Bus Line Patronage. ICTTS' 2002, Guilin. 李瑞敏，杨新苗，史其信.;公共交通规划与中国城市可持续发展
- Fuzzy neural network with incremental learning ability (FNN-IL) was proposed to predict financial time series. 提出使用一种具有增量学习能力的模糊神经网络(FNN-IL)应用于金融时间序列的预测。
- Yang Xinmiao, Wang Wei. Applying Fuzzy Neural Networks to Predict Bus Line Patronage. ICTTS" 2002, Guilin. 李瑞敏，杨新苗，史其信.;公共交通规划与中国城市可持续发展
