• 采用B - P反向传播神经网络构成智能模式分类器,对此声发射信号进行识别,获得了满意的效果。

    An intelligent pattern classifier with B-P neural network is used in recognition of those five kinds of AE signals successfully.

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  • 结合组合式电脑茶叶拣梗机的模式分类问题,讨论模式分类智能实现策略。

    The intelligent pattern classifier and its realization techniques are discussed according to the classing process in a computer control combined tea-stalk reject system.

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  • 常用数据挖掘方法包括描述分类关联规则聚类孤立点检测模式匹配、数据可视

    Several major kinds of data mining methods, including characterization, classification, association rule, clustering, outlier detection, pattern matching, data visualization, and so on.

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  • 系统采用状态映照平面初始方法未知模式标定技术在线识别技术,结合知识库和规则推理的运用,有效地实现设备状态分类

    The system adopts the techniques of initialization of state mapping plane, calibration of unknown pattern and on-line identification and this makes plant condition clustering efficiently.

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  • 文章在研究经典分类模式基础提出了一种基于动态权重数字刻面分类模式

    The paper proposed a new digitized faceted classification model based on dynamic weight value which is originated from classify faceted classification model.

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  • 方法典型服务场景顾客的个性的服务需求进行分类总结将其归纳有限的、可重用约束模式

    The method does classifications and summaries to service requirements in typical service scenarios, and deduces them into limited and reusable constraint patterns.

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  • 为了解决这个问题给出直接分类模式分类模式分类法则科目约束表达式概念形式定义。

    To solve the problem, the concepts and formal definitions including direct classification schema, tree classification schema, classification rule, and family constraining expression were presented.

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  • 本文提出了一基于模式特征空间统计分布模糊隶属度函数模型有效地反映模式在特征空间中的真实分布,用于模式分类器输入特征的模糊可获取更好的识别性能。

    In this paper a model of discrete fuzzy membership function based on statistical distribution of features of pattern is presented. It is used for the fuzziness of input features of classifier.

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  • 本文提出了一基于模式特征空间统计分布模糊隶属度函数模型有效地反映模式在特征空间中的真实分布,用于模式分类器输入特征的模糊可获取更好的识别性能。

    In this paper a model of discrete fuzzy membership function based on statistical distribution of features of pattern is presented. It is used for the fuzziness of input features of classifier.

    youdao

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