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案例5

于 2018-03-01 发布 文件大小:58KB
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  基于BP_Adaboost的强分类器设计——公司财务预警建模(Design of strong classifier based on BP_Adaboost: modeling of corporate financial early-warning)

文件列表:

案例5\Bp_Ada_Fore.m, 1833 , 2010-01-30
案例5\Bp_Ada_Sort.m, 2289 , 2010-01-30
案例5\data.mat, 11820 , 2009-12-28
案例5\data1.mat, 46394 , 2009-09-09
案例5, 0 , 2010-01-30

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    用前推回代法编写了一个算8节点配网潮流的程序,解压后就可以直接运行(With forward and backward substitution method to write an 8-node distribution network power flow calculation program, named after the needs of the non-alphanumeric characters removed after decompression, it can be run directly)
    2013-12-12 17:00:44下载
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    本文围绕压缩感知的三个基本问题, 从结构化测量方法、结构化稀疏表示和结构化信号重构三个方面对结构化压缩感知的基本模型和关键技术进行详细的阐述.(In this paper, the basic models and key techniques of structured compressive sensing are introduced in terms of the structured measurements, the structured dictionary representation and the structured signal reconstruction, which correspond to three basic aspects of compressive sensing.)
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