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  • 匿名
关注:1 2013-05-23 12:21

求翻译:由于模型(4-25)得到的最优加权系数向量W可能出现负分量,在实际应用中为了避免出现负权重,增加非负约束,得到模型(4-26),从而求出非负最优加权系数。是什么意思?

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由于模型(4-25)得到的最优加权系数向量W可能出现负分量,在实际应用中为了避免出现负权重,增加非负约束,得到模型(4-26),从而求出非负最优加权系数。
问题补充:

  • 匿名
2013-05-23 12:21:38
Model (4-25) is the optimal weighting coefficient vector w may be a negative component in the practical application in order to avoid negative weights to increase the non-negative constraints, the model (4-26), which obtained the non-negative optimal weighting coefficients.
  • 匿名
2013-05-23 12:23:18
Because the model (4 - 25) is the best weighted coefficient vector W may have a negative component, in the actual application in order to avoid a negative weight, increase the number of non-negative constraints, model (4-26, and thus the non-negative optimal weighting factor.
  • 匿名
2013-05-23 12:24:58
正在翻译,请等待...
  • 匿名
2013-05-23 12:26:38
Because models (4-25) are optimally weighted coefficient vector w can occur a negative component, in practice in order to avoid negative weights, increased non-negative constraints, are models (4-26), so as to derive the optimal weighted non-negative coefficients.
  • 匿名
2013-05-23 12:28:18
正在翻译,请等待...
 
 
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