• 全面组件工具,可以建模管理复杂关系分类模式

    A comprehensive set of components and tools for modeling and managing complex relationships and classification schemas.

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  • JSLSCAD利用复杂模式识别算法,可以探测分类鉴定化学战剂,同时还可以识别自然人造战场干扰物。

    Using sophisticated pattern recognition algorithms, JSLSCAD detects, classifies, and identifies chemical agents while discriminating against both natural and manmade battle space interferents.

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  • 文章针对蛋白质二级结构预测复杂非线性模式分类问题提出基于径向函数的预测方法

    Aiming at solving the complicated non-linear pattern classification problem of protein secondary structure prediction, a new method based on radial basis function is proposed.

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  • 针对故障诊断计算量大,模式分类复杂问题提出了一种基于粗糙集的形容错故障诊断方法

    To solve the problem of complex computing and classifying of patterns in fault diagnosis, a fractal fault-tolerant diagnosis method based on rough reduction is presented.

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  • 方法通过时间序列排序模式进行分类,来实现复杂概率分布估计,从而直接估计出时间序列的信息量

    The proposed method calculates the probability distribution of time series based on the classification of order patterns to directly estimate the amount of information in time series.

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  • 分类器联合解决复杂模式识别问题的有效办法。

    A combination of multiple classifiers is a powerful solution to the difficult pattern recognition problem.

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  • 分类组合解决复杂模式识别问题有效办法

    Multiple classifiers ensemble is an effective method to solve complex classification problems in pattern recognition field.

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  • 方案采用了标准的SNMP网管模式并结合适于复杂网络的策略网管技术。对过渡技术进行分类统计、分析过渡设施进行信息建模

    The solution integrates SNMP - based management model with policy - based method, classifies and analyses transition technologies, and builds information model for transition facilities.

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  • 分类器联合解决复杂模式识别问题有效办法。

    A combination of multiple classifiers is a powerful solution to difficult pattern recognition problem.

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  • 通信信号调制类型分类识别一种典型模式识别问题涉及到很多复杂因素

    The classification of modulation types of communication signals is a problem of typical pattern recognition. It involves many perplexing factors.

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  • 通信信号调制类型分类识别一种典型模式识别问题涉及到很多复杂因素

    The classification of modulation types of communication signals is a problem of typical pattern recognition. It involves many perplexing factors.

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