The adaptive detector does not require training data sequences.

该自适应多用户检测方法不需要发送训练序列.

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So the reduced training set affects neither the edge training data nor the performance of FSVMs.

因此,减少训练样本既不影响边缘数据,也不影响FSVMs的性能.

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A training data consists of a discretepoint and whether this design point is feasible or infeasible.

接著搜寻演算法于类神经网路模拟的可行区域中寻找出一最佳设计点.

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The target model is used to search class characters based on analysis of training data.

目标模型是通过对训练样本数据的分析找到反映各类别的特征.

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This node cannot be unchecked because the predicted entity must be included in the training data.

无法取消选取此节点,因为所预计的实体必须包括在培训数据中.

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