• 提出一种新的动态模糊自组织神经网络模型(TGFCM),并将其用于文本聚类中。

    This paper proposed a new model of dynamic fuzzy Kohonen neural network (TGFCM), which was applied to the text clustering.

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  • 提出一种基于模糊神经网络聚类图像处理技术相结合沉积微相识别方法

    In this paper we propose an automatic sedimentary facies identifying method based on combing fuzzy ellipsoidal neural networks and image process technology.

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  • 使用减法聚类自适应模糊神经网络方法设计水下机器人运动规划器。

    By using the methods of subtraction clustering and adaptive fuzzy neural network, a sort of motion planner for the underwater vehicle was designed.

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  • 模糊目前知识发现(KDD)领域中的研究分支之一神经网络用于良好工具

    Fuzzy cluster is one of the branches of knowledge discovery in database (KDD). And neural network is a good tool for clustering.

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  • 提出新颖模糊神经网络模型对机械手运动轨迹进行控制。

    This paper presents a novel framework for trajectory tracking of robotic manipulators based on the optimal fuzzy clusting neural network system.

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  • 为了获得噪声细节保留两方面更好的平衡,提出了一种自适应模糊聚类神经网络

    AFCN (adapted fuzzy cluster neural network) is introduced to keep up trade-off between noise attenuation and detail preservation in image processing.

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  • 模型利用模糊聚类技术确定系统模糊空间模糊规则利用BP算法调整模糊神经网络系数

    The fuzzy space and the number of fuzzy rules of this model are defined by the fuzzy clustering method and weight coefficients of the model are adjusted by the BP algorithm.

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  • 然后介绍了如何使用模糊聚类算法等价前馈神经网络样本数据辨识离散的TS模型

    Then we introduce how to identify the TS model from sample data using fuzzy clustering algorithm and equivalent feedforward neural network.

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  • 算法可以在线地划分输入数据逐点地更新聚类,自己组织模糊神经网络结构

    This clustering algorithm can on-line partition the input data, pointwise update the clusters, and self-organize the fuzzy neural structure.

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  • 与此同时,分别设计了模糊系统模糊等价矩阵两种模糊网络模式识别方法对局部放电信号进行识别,作为局部放电模式识别对比实验

    At the same time, fuzzy hierarchical clustering and fuzzy equivalence matrix method based on fuzzy logical are designed for partial discharge pattern recognition as contrasting experiment.

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  • 提出一种新的模糊聚类方法,构造了分布式模糊神经网络重点附述它们原理方法。

    A new fuzzy clustering method and a distributed neural network are introduced, and the theory and their applications are stressed.

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  • 由于预先运用基于FCM适应模糊聚类方法确定模糊神经元网络合理结构设置网络初始权值,从而可提高网络训练速度

    Since an FCM based self adaptive fuzzy clustering technique is employed to determine the proper structure of the FNN and set the initial weights in advance, the network can be trained rapidly.

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  • 针对知识发现中的信息模糊查询问题,提出一种基于神经网络信息聚类联想实现方法

    In this paper, a method of information clustering and concept association is shown, it is based on neural network, and it aims at inkling information searching in knowledge discovery.

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  • 分别使用模糊聚类方法混合模糊神经网络关联规则挖掘知识发现方法间歇过程中的配方周期性污垢操作策略规则等进行挖掘处理。

    Using the Fuzzy Cluster method, Hybrid Fuzzy Neural Network, Association rules mining methods, etc. find and excavate the recipes, periodic fouling, and operation strategy rule in the batch process.

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  • 解决单个帖子线索话题问题识别中的孤立点,提出一种基于模糊聚类网络论坛(BBS)热点话题挖掘算法

    A bulletin board system(BBS) hot topic mining algorithm based on fuzzy clustering was developed to solve the problem of the post thread with multiple topics and identifying the outliers in clustering.

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  • 采用模糊C—均值聚类算法网络进行模糊化,利用改进LMS算法对网络进行训练。

    The FCNN is fuzzed by FCM algorithm and improved LMS algorithm is applied to tune the weight of FCNN.

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  • 整个网络既有神经网络学习能力模糊系统基于规则推理能力,特别是自动聚类能力。

    The whole network has not only the learning ability to neural network, but also the logic ability to fuzzy system based on rules, especially the automatic clustering ability to sub-class.

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  • 使用减法聚类自适应神经模糊网络方法设计了水下机器人运动规划器。

    Using the methods of subtraction clustering and auto-adapted nerve fuzzy network, a sort of motion planner for the underwater vehicle is designed.

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  • 解决相似案例差异性问题,提出了基于划分聚类模糊神经网络的设计案例相似性检索方法

    To improve the diversity of similar cases, similarity retrieval method based on partitioned clustering and General Fuzzy Min-Max neural network is developed.

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  • 针对模糊神经网络不能接受离散标称变量输入缺陷,CCT模糊神经网络模糊聚类方法基础上提出一种混合模糊神经网络建模方法。

    A Hybrid fuzzy neural network modeling method was presented. On the basis of CCT fuzzy neural network and fuzzy cluster method, this method can deal with discrete variables input.

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  • 有两个例子我们研究DNA阵列数据使用DNA微阵列数据的模糊art模糊神经网络基因聚类癌症患者预后预测

    Two examples are our research such as the prediction of prognosis for cancer patients from DNA microarray data using FNN and gene clustering for DNA microarray data using fuzzy ART.

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  • 根据无线网络业务数据特点提出一种基于模糊聚类的数据填补算法

    According to the features of wireless network data, this paper puts forward a data complement algorithm based on fuzzy clustering.

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  • 三是深入研究模糊神经网络结构优化方法提出两种模糊聚类神经网络优化方案。

    At last we deeply studies the methods of optimizing the structure of fuzzy clustering, and proposes two algorithms.

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  • 该方法借鉴神经网络理论模糊聚类算法自适应模式识别优点,自动完成样本样件设计工作。

    Based on the theory of neural networks, fuzzy clustering algorithm and adaptive pattern recognition, the method can be used to classify and design the sample workpiece automatically.

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  • 案例采用结合模糊广义神经网络回归聚类算法入侵数据进行分

    This case USES combined with fuzzy clustering and generalized regression neural network clustering algorithm for intrusion data classification.

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  • 案例采用结合模糊广义神经网络回归聚类算法入侵数据进行分

    This case USES combined with fuzzy clustering and generalized regression neural network clustering algorithm for intrusion data classification.

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