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   递阶模糊 的翻译结果: 查询用时:0.022秒
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递阶模糊
相关语句
  hierarchical fuzzy
     General Hierarchical Fuzzy Controller Based on PI Control Law
     基于PI控制律的通用递阶模糊控制器
短句来源
     AN ADAPTIVE HIERARCHICAL FUZZY PID PARAMETERS CONTROL FOR SUPERHEATED STEAM TEMPERATURE SYSTEM
     过热汽温系统的自适应递阶模糊PID参数控制
短句来源
     HIERARCHICAL FUZZY NEURAL NETWORK CONTROL FOR LARGE SCALE URBAN TRAFFIC SYSTEMS
     城市交通大系统递阶模糊神经网络控制
短句来源
     Hierarchical Fuzzy Identification for Complex Systems
     复杂系统的递阶模糊辨识
短句来源
     Drawn ideas from GMDH algorithm, a new approach to hierarchical fuzzy identification for complex systems is presented to overcome the serious limitation of Takagi and Sugeno's model (T_S model), that is the problem of "curse of dimensionality".
     针对Takagi_Sugeno模糊模型 (T_S模型 )严重的维数灾问题 ,借鉴GMDH算法 ,提出了一种新的复杂系统递阶模糊辨识方法 .
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  “递阶模糊”译为未确定词的双语例句
     Fuzzy signal control of two adjacent intersections using hierarchy methods
     两相邻路口信号的分层递阶模糊控制
短句来源
     Prediction of chaotic time series based on hierarchical fuzzy-clustering
     基于递阶模糊聚类的混沌时间序列预测
短句来源
     In this chapter, a fuzzy identification technique, called simple ANFIS, is developed to identify the inverse model of an MR damper.
     另外,将经过递阶模糊辨识的磁流变阻尼器逆模型用于产生控制电压,从而产生所需要的控制力。 该方法可以对整车悬架提供全面有效的控制。
短句来源
     We did CAD simulation on our algorithm ideology for nonlinear predictive systems,we gave the detail explanation in each step and some different examples for comparing.
     第六章 递阶模糊模型仿真实例:以具体的非线性系统为例,进行仿真试验,对于仿真的每一步都有详细说明,并实例以示对照
短句来源
     (3) advancing an integrated 4 layer fuzzy evaluating model used in SDCMA;
     (3)提出了煤矿区可持续发展的四层递阶模糊综合评价方法体系;
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  相似匹配句对
     Hierarchical Fuzzy Identification for Complex Systems
     复杂系统的模糊辨识
短句来源
     Hierarchical Fuzzy Control for Urban Traffic Trunk Roads
     城市交通干线模糊控制
短句来源
     Hierarchical Fuzzy Control for Gasoline Engine Idle Speed
     汽油机怠速模糊控制
短句来源
     Fuzzy Method Based on the Hierarchical House of Quality
     模糊质量屋方法
短句来源
     Hierarchical Fuzzy Multiobjective Control and Its Application
     模糊多目标控制及其应用
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  hierarchical fuzzy
Our approach extends standard fuzzy inference by a multistage organization, and - with proper organization of rules, characteristics and strategies - performs hierarchical fuzzy inference.
      
Stability of hierarchical fuzzy systems generated by Neuro-Fuzzy
      
This paper first defines a generic hierarchical fuzzy system that can be implemented exploiting the recursion supported by standard programming languages.
      
Secondly it shows that hierarchical fuzzy systems can be generated from a specialised multi-layer perceptron neural network using a heuristic rule extraction algorithm.
      
Finally, the paper provides a proof for the stability of hierarchical fuzzy systems and the verification using simulation examples.
      
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Considering complicated problem with hierarchy, a hierarchical fuzzy net mechanism is proposed and its parameter modification equations are given. The design principle of this structure in practice is dis-cussed. By use of this mechanism, the predictor of train operation speed braking adjustment is constructed. Simulation results showed good accuracy of prediction.

针对具有分层特点的复杂问题,提出一种递阶模糊网络结构,并推导了该网络的参数修正递推算法,给出相应的设计准则。将读结构用于列车制动调速预测,取得了满意的效果。

Most fuzzy controllers were designed on the basis of single fuzzy model which had limited representation ability and might cause “combination bomb”. So we proposed a consequencedriven hierarchical fuzzy logic system suitable for complicated problem with hierarchy. The main results of our research are: (1) via the nonlinear mapping ability of fuzzy system, the consequent function in a fuzzy rule can be given by a fuzzy subsystem and a hierarchical structure can be constructed; (2) the high level of this system...

Most fuzzy controllers were designed on the basis of single fuzzy model which had limited representation ability and might cause “combination bomb”. So we proposed a consequencedriven hierarchical fuzzy logic system suitable for complicated problem with hierarchy. The main results of our research are: (1) via the nonlinear mapping ability of fuzzy system, the consequent function in a fuzzy rule can be given by a fuzzy subsystem and a hierarchical structure can be constructed; (2) the high level of this system corresponds to abstract concept level of the practical problem and the low level, to the details; (3) the output error can be transferred through high to low level for modification of parameters in the system. We used this method to make up a prediction model of train speedadjusting braking process and construct a prediction controller with the model. Simulation results, which are presented in Figs.3 and 4, reveal that the method is useful and efficient.

针对复杂分层问题,提出了后件驱动的递阶模糊逻辑系统,给出该系统的结构和设计准则。基于模糊函数的表示形式,导出了该系统的自适应参数修正递推公式。在列车制动调速预测控制的应用中,取得了满意的效果

To solve the generality and simplicty problems of normal fuzzy controllers, an adaptive hierarchical fuzzy controller is established which focuses on plants whose dynamics change with operating condition. Closed loop fuzzy gain scheduling is implemented. With the stability supervision control, the control system has engineering stability.

为解决常规模糊控制器存在的通用性和工程简便性问题 ,针对动态特性随操作条件变化对象建立自适应递阶模糊控制器 ,实现闭环模糊增益调度 ,并引入稳定监督控制使控制系统具有工程稳定性 .

 
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