1、

The TSK fuzzy model is identified based on the SVM and the recursive least square method, and membership function parameters are optimized with the genetic algorithm so that identification error is minimized.

基于支持向量机和递推最小二乘法,辨识出TSK模糊模型,并且通过遗传算法优化隶属度函数参数,最小化辨识误差。

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2、

A new hybrid learning algorithm was proposed to train the fuzzy neural network based on TSK fuzzy model. Firstly, fuzzy c-means algorithm was applied to initialize the parameters of the fuzzy neural network.

提出了一阶TSK模糊神经网络的混合学习算法,算法由三部分组成:基于模糊聚类的网络初始化;

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3、

This algorithm utilizes TSK modeling scheme to identify fuzzy internal model on line by using the input and output measurement of the plant;

根据对象输入与输出测量值,利用TSK建模方法在线辨识局部模糊内部模型;

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4、

To balance the traffic in the different cells, an algorithm named fuzzy FCS ( FFCS) considering signal strength, the rate of arriving calls and available power of the base station is put forward.

为平衡小区间业务量,本文结合导频信号强度、小区呼叫到达率和基站可用功率,提出了模糊快速选择小区的算法(FFCS)。

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5、

The FDEA algorithm introduces the fuzzy logic into classical DEA methods, and the algorithm take the weight of the input and output as variables to evaluate the web source quality, so that it can avoid the effect of subjectivity to the result.

FDEA方法将模糊逻辑引入经典的DEA方法,该算法是以输入输出指标的权重为变量进行评测,从而有效避免了人为确定指标权重的主观因素对评测结果的影响。

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6、

A weighted sum method based on fuzzy satisfactory levels of objectives is proposed to treat the multiple objectives. Then, a genetic algorithm with sequence encoding and PMX crossover is developed to solve this kind of problems.

提出了一种基于目标模糊满意度的多目标加权和的方法,并开发了一个针对此类问题求解的遗传算法。

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7、

Research on fuzzy control algorithm of inverted pendulum system.

倒立摆系统的模糊控制算法研究.

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8、

A scheduling algorithm of the scheduler, namely fuzzy maximum first ( FMF), can schedule dynamically the priority of network message.

该调度器采用模糊最大优先调度算法对网络消息发送的优先级进行动态调度。

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9、

A global control Fuzzy Genetic Algorithm ( FGA) was applied to the structure optimization.

将一种全程控制的模糊遗传算法(FGA算法)引入结构优化设计。

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10、

A intelligent fuzzy control algorithm and its application in the electric heating furnace are introduced.

介绍一类智能模糊控制算法及其在电加热炉中的应用.

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11、

Improved fuzzy genetic algorithm and its application in information filtering

改进的模糊遗传算法及在信息过滤中的应用

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12、

Genetic Algorithm is a proper method for optimizing Fuzzy controller.

遗传算法应用于模糊控制器的优化设计是非常合适的。

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13、

Variable Population Genetics Algorithm for Parameter Optimization of Fuzzy Controlled Air Conditioner

模糊控制空调器参数优化的变群体规模遗传算法

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14、

The experimental results show that the algorithm of a fuzzy perceptron with bias is finite convergent, and the convergence speed is quicker compared with the one without bias under the same experiment condition.

数值试验结果表明:在相同的试验条件下,带阈值模糊感知器算法有限收敛,并且与不带阈值的模糊感知器算法相比,收敛速度在多数情况下加快。

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15、

Aiming at the disadvantage of the immobile rotated angle in quantum genetic algorithm ( QGA), the fuzzy self tuning method was introduced and the fuzzy quantum genetic algorithm ( FQGA) was put forward.

针对量子遗传算法(QGA)中旋转变异角相对固定的缺点,将模糊自适应的思想引入QGA,提出了模糊量子遗传算法(FQGA)。

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16、

This paper constructs the fuzzy-valued dynamic constraint concept networks on the theoretical basis of the fuzzy sets and the semantic networks, introduces the basic construction method of this concept network, and puts forward the text analysis algorithm based on the concept network.

文章在模糊集和语义网络的理论基础上,构建了模糊值动态约束性概念网络,介绍了该概念网络的基本构建方法,并提出了基于概念网络的文本分析算法。

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17、

I selected matlab fuzzy logic toolbox to train the classifier, meanwhile, in order to contrast my experiment, I also selected K-means algorithm to be experimented based on Weka data mining software.

选择基于matlab的模糊逻辑工具箱来训练分类器,同时为了进行对比实验,基于Weka数据挖掘软件进行了K-means聚类实验。

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18、

Particle swarm optimization algorithm for multiobjective bimatrix games with fuzzy goals

一类模糊多目标双矩阵对策的粒子群优化算法

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19、

In order to improve the training efficiency, an advanced Fuzzy Support Vector Machine ( FSVM) algorithm based on the density clustering ( DBSCAN) is proposed.

为了提高模糊支持向量机在数据集上的训练效率,提出一种改进的基于密度聚类(DBSCAN)的模糊支持向量机算法。

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20、

Fuzzy C means clustering ( FCM) algorithm is a classical fuzzy clustering analysis, the algorithm has been effectively used in data mining, pattern recognition, computer vision and decision support.

模糊C均值聚类(FCM)算法是&种经典的模糊聚类分析方法,该算法已经有效地应用在数据挖掘、模式识别、计算机视觉以及决策支持等领域,具有重要的理论与实际应用价值。

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