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MFL

于 2017-03-22 发布 文件大小:491KB
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代码说明:

  基于改进BP神经网络算法的管道缺陷漏磁信号识别(Identification of magnetic flux leakage signals of Pipeline Defects Based on improved BP neural network algorithm)

文件列表:

双小波神经网络迭代的漏磁缺陷轮廓重构技术_徐超.pdf,700564,2005-01-14

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    包含了阵列信号处理的常见算法,可以实现模式识别领域的数据的分类及回归,包括主成分分析、因子分析、贝叶斯分析。( Contains a common array signal processing algorithm, You can achieve data classification and regression pattern recognition, Including principal component analysis, factor analysis, Bayesian analysis.)
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