然后再构造和显示这个横截面。

Then it will display this cross section.

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对一般线性回归模型中有关参数估计分布的模拟问题，给出一种随机加权逼近的再构造方法。

A reconstructing method for random weighting approximations is proposed in approach to the distributions of the parameter estimates in general linear regression model.

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给出一种求解超平面以几何分割训练点的新方法，不仅相应地构造了隐层神经网络，而且使得只需再构造一个输出层网络便可实现训练样本所描述的映射。

The algorithm employs a new method to compute hyper planes to divide the training points into distinct areas so that the hidden layer of neural networks is correspondingly constructed.

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