In this paper, a method for converting GPS height to normal one by means of support vector machine is proposed, and compared with the methods of neural network, polynomial fitting etc.

结合GPS测量和水准测量资料，利用支持向量机方法对GPS高程进行了转换，并与神经网络和多项式拟合等拟合的结果进行了比较，得出了一些有益的结论。

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This concept is the integration of identical parallel machine scheduling with flow shop scheduling. The solution to IFSP is a non- polynomial computation of time problem.

采用网络理论构造了平行流水作业的非连接图模型，提出了采用蚁群算法求解平行流水作业计划问题，以及求解过程中可行路径表的建立方法。

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