阐明了数据选取的原则，数据合成依据，分析了应用效果，指出了存在的问题。

Also described were the principles for data selection, basis for data composition as well as outcomes out of the application.

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数值实验表明，改进的基于凸壳的训练数据选取算法缩短了训练时间并保持了良好的泛化能力，具有一定的参考价值。

Numerical experiments show that the improved Convex Hull-based training data selection algorithm reduces the training time, maintains a good generalization ability and has some reference value.

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这是可以从多个NSF甚至其他表选取数据到查询视图的一种方式。

This is one of the ways we can get data from multiple NSFs, or even other tables, into a Query View.

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