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关注：1
2013-05-23 12:21
求翻译：A popular topic in modern data analysis is ANN, ANNs are data-driven approaches which can capture nonlinear data structures without prior assumption about the underlying relationship in a particular problem (P.P.Balestrassi et al., 2009).BP neural networks have good characteristics of non-linear mapping, and they are p是什么意思？ 待解决
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A popular topic in modern data analysis is ANN, ANNs are data-driven approaches which can capture nonlinear data structures without prior assumption about the underlying relationship in a particular problem (P.P.Balestrassi et al., 2009).BP neural networks have good characteristics of non-linear mapping, and they are p
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2013-05-23 12:21:38
A popular topic in modern data analysis is ANN, ANNs are data-driven approaches which can capture nonlinear data structures without prior assumption about the underlying relationship in a particular problem (PPBalestrassi et al., 2009). BP neural networks have good characteristics of non -linear map
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2013-05-23 12:23:18
A popular topic in modern data analysis is ANN ANNs are data-driven approaches, which can capture nonlinear data structures without prior assumption about the underlying relationship in a particular problem (P P . . . Balestrassi et al, 2009 ). BP neural networks have good characteristics of non-lin
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2013-05-23 12:24:58
A popular topic in modern data analysis is ANN, ANNs are data-driven approaches which can capture nonlinear data structures without prior assumption about the underlying relationship in a particular problem (P.P.Balestrassi et al., 2009) .BP neural networks have good characteristics of non-linear ma
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2013-05-23 12:26:38
A popular topic in modern data analysis is ANN, ANNs are data-driven approaches which can capture nonlinear data structures without prior assumption about the underlying relationship in a particular problem (P.P.Balestrassi et al., 2009). BP neural networks have good characteristics of non-linear ma
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2013-05-23 12:28:18
A popular topic in modern data analysis is ANN, ANNs are data-driven approaches which can capture nonlinear data structures without prior assumption about the underlying relationship in a particular problem (P.P.Balestrassi et al., 2009). BP neural networks have good characteristics of non-linear ma
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