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提取模糊规则
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  extracting fuzzy rules
     Achievement of an Algorithm for Extracting Fuzzy Rules Based on RBF Neural Network
     一种基于RBF网络提取模糊规则的算法实现
短句来源
     An Algorithm for Automatically Extracting Fuzzy Rules Based on RBF Neural Network
     一种基于RBF神经网络自动提取模糊规则的方法研究
短句来源
     Extracting fuzzy rules using fuzzy inferencing neural networks and CamDelta algorithm.
     利用模糊推理神经网络 ,采用CamDelta算法提取模糊规则 ;
短句来源
     On the basis of fuzzy clustering and rough set, an algorithm for extracting fuzzy rules was proposed.
     提出了一种基于模糊软分类和粗糙集理论来提取模糊规则的一种算法。
短句来源
     Based on VC++ programming,we have achieved the algorithm of extracting fuzzy rules,and experimented. The results of simulation example show that the algorithm is an effective method.
     通过VC++实现了基于这种RBF网络结构提取模糊规则的算法,并进行了仿真实验,仿真结果表明该算法是比较有效的。
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  fuzzy rule extraction
     Fuzzy Neural Network combined with conventional PD controller is used for the kinematics control and a fuzzy rule extraction method is put forward.
     采用模糊神经网络结合常规 PD控制器的方法来进行机器人的运动控制 ,提出了提取模糊规则的方法。
短句来源
     A Weighted fuzzy neural network learning algorithm which combines a genetic algorithm based on hierarchical structure and evolutionary programming was presented. The shooting algorithm is used to optimize the Weighted fuzzy neural network structure and train the connection weights,and presented fuzzy rule extraction method from weighted fuzzy neural networks. So fuzzy rules from the trained Weighted fuzzy neural network can be automatically extracted.
     针对模糊规则的自动获取一直是模糊系统的一个瓶颈问题,提出一种基于递阶结构的混合编码遗传算法与进化规划相结合的模糊加权神经网络学习新算法,利用该算法同时优化模糊加权神经网络的结构和参数,最后说明了从网络中提取模糊规则的方法,从而自动获得最优的模糊规则。
短句来源
  “提取模糊规则”译为未确定词的双语例句
     Combining hyperball cerebellar model articulation controller (HCMAC) with fuzzy logic theories, a fuzzy HCMAC (FHCMAC) was obtained, which can extract fuzzy rules for neurocontrol and be used as a controller directly. The controller is of powerful robustness.
     把 HCMAC(Hyperball Cerebellar Model Articulation Controller)与模糊逻辑理论有机结合起来 ,形成 FHCMAC(Fuzzy HCMAC) ,它便于从输入输出数据中提取模糊规则 ,直接用作控制器 .
短句来源
     A complicated nonlinear system-an inverted pendulum is simulated to illustrate the details of the algorithm and the results demonstrate the validity of the method.
     本文以复杂非线性系统——倒摆系统为例,介绍用本文的方法提取模糊规则的具体过程,仿真结果表明了本方法的有效性和通用性。
短句来源
     The two-stage fuzzy controller can effectively decrease the number of fuzzy rules and is easy to acquire fuzzy rules and is very suitable to complex urban traffic intersection control.
     两级模糊控制能有效减少模糊规则数,易于提取模糊规则,适合于交通状况复杂的城市交叉口的交通控制。
短句来源
     ALGORITHM FOR FUZZY RULE ABSTRACTION FROM SAMPLE DATA
     从样本数据中提取模糊规则的算法研究
短句来源
     This paper put forward the idea of producing fuzzy rules by genetic algorithms based on Takagi-Sugeno Fuzzy Logic System, and establish the fuzzy model to forecast diseases and pests.
     基于 Takagi- Sugeno模糊逻辑系统 ,运用遗传算法提取模糊规则 ,构建系统的模糊模型 ,并用于病虫害的预测工作。 图 2 ,表 1,参 6
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  fuzzy rule extraction
However, as uncertainties in the data and missing values existed, a fuzzy rule extraction algorithm based on a fuzzy min-max neural network (FMMNN) was used.
      
As a second method, an existing fuzzy rule extraction method was extended to broken rotor bar detection problem.
      


Fuzzy rules have been succeeded in many fields. But it is difficult to extract fuzzy rules and get cheir membership functions from massive data information.Ncural network can deal with massive data information parallelly and find out their regulation. But how to represent knowledges in neural network? This paper suggests artificial neural network used to extract fuzzy rules and adjust their membership functions.It explains the model of neural network, learning algorithms and the knowledge representation in neural...

Fuzzy rules have been succeeded in many fields. But it is difficult to extract fuzzy rules and get cheir membership functions from massive data information.Ncural network can deal with massive data information parallelly and find out their regulation. But how to represent knowledges in neural network? This paper suggests artificial neural network used to extract fuzzy rules and adjust their membership functions.It explains the model of neural network, learning algorithms and the knowledge representation in neural network in detail.

模糊规则在许多领域中得到了非常成功的应用,但是要从大量的数据资料中获取适当的模糊规则和隶属度函数却是一件困难的事情。而神经网络的并行计算可以快速高效地处理数据资料,找出其规律性,但是模糊规则如何在神经网络中表示呢?本文提出将神经网络应用于提取模糊规则和调整其隶属度函数中,详细阐述了该神经网络的模型及其学习算法和模糊规则在神经网络中的表示。

In this paper, they present a new method to design fuzzy controller. This paper sets up a new explanation for fuzzy set and fuzzy rule based on imal fuzzy controller.Under this explanation, relation has been set up between the setting of fuzzy set, fuzzy rule and the physical action of the controller's object. Then, by using the CMAC network to learn the action of the controller's object,designer can get the knowledge of the object. After that, under the new explanation for fuzzy set and fuzzy rule, the fuzzy...

In this paper, they present a new method to design fuzzy controller. This paper sets up a new explanation for fuzzy set and fuzzy rule based on imal fuzzy controller.Under this explanation, relation has been set up between the setting of fuzzy set, fuzzy rule and the physical action of the controller's object. Then, by using the CMAC network to learn the action of the controller's object,designer can get the knowledge of the object. After that, under the new explanation for fuzzy set and fuzzy rule, the fuzzy controller can be designed automatically. So this method avoids the casuality caused by the designer. The self learning ability of CMAC also makes it possible for on-line self adaptive fuzzy controller.

提出了一种新的建立模糊控制的方法,在原来模糊控制的基础上,对模糊集提出了新的解释.将模糊集的建立和模糊规则的确立和受控系统的物理行为直接联系起来.然后,通过CMAC神经网络对受控系统进行学习,掌握受控系统的特性,并最终由CMAC神经网络根据对模糊集的新的解释,来建立模糊集并提取模糊规则.这样,使模糊控制的建立避免了由于设计者而带来的偶然性.

A method of automatically extracting and optimizing fuzy rule base is presented. Firstly, it applies the method of CCM (Cell-to-Cell Mapping) to analyze the evolving trend and global behavior of the closed-loop fuzzy dynamical system based on a cell state space. Secondly, each rule base is evaluated to determine a performance index according to the control objective. Thirdly, GA (Genetic Algorithm) updates the old population of coded rule bases using the performance index of each rule base generation by generation....

A method of automatically extracting and optimizing fuzy rule base is presented. Firstly, it applies the method of CCM (Cell-to-Cell Mapping) to analyze the evolving trend and global behavior of the closed-loop fuzzy dynamical system based on a cell state space. Secondly, each rule base is evaluated to determine a performance index according to the control objective. Thirdly, GA (Genetic Algorithm) updates the old population of coded rule bases using the performance index of each rule base generation by generation. A complicated nonlinear system-an inverted pendulum is simulated to illustrate the details of the algorithm and the results demonstrate the validity of the method.

本文提出了一种自动提取模糊規则集的新方法。本方法首先利用CCM分析闭环模糊系统在某一规则集控制下的全局动态行为,根据控制目标对该规则集进行评价得其性能指标。然后利用GA根据这个性能指标对规则集进行逐代更新和优化,最后得到一个满足要求的规则集。本文以复杂非线性系统——倒摆系统为例,介绍用本文的方法提取模糊规则的具体过程,仿真结果表明了本方法的有效性和通用性。

 
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