每一个样本测序20至60次以清晰地描述家庭成员的遗传变。

Each sample was sequenced 20-60 times to uncover a clear picture of genetic variation among family members.

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利用改进后的变精度粗糙集模型(VPRS)分析“消费者决策心理调查问卷”，样本包括910个大学生。

The improved variable precision rough set model (VPRS) is applied to analyze "the questionnaire of customer's decision-making psychology". The sample includes 910 undergraduate students.

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通过离线的迭代算法生成高精度的样本点来训练神经网络，使用动量法、变学习率法和共轭梯度法提高BP网络的收敛速度。

Methods based on BP neural network and RBF neural network were studied to solve inverse kinematics. The training samples were obtained through off-line numerical method with high precision.

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