A low current measurement system may also require significant settling time be fore the expected accuracy can be obtained.

对于小电流测量系统，也需要足够的稳定时间才能够获得预期的准确度。

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By making some necessary approximations, the algorithm used for this system is able to avoid solving directly system of nonlinear equations without losing the expected accuracy.

该系统所采用的算法由于作了某些必要的近似处理，避免了直接解非线性方程组同时又满足了精度要求。

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Test results indicate that the algorithm can acquire about 16% of the useful expanded rules to cover 93% of the annotated positive examples and can improve the expected accuracy from 51% to 81%.

实验结果表明：现有算法以16%的有效扩展规则覆盖了93%的标注正例，并使预期精度从51%提高到81%，显示了这套规则学习和评价方法的有效性。

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Test results indicate that the algorithm can acquire about 16% of the useful expanded rules to cover 93% of the annotated positive examples and can improve the expected accuracy from 51% to 81%.

实验结果表明：现有算法以16%的有效扩展规则覆盖了93%的标注正例，并使预期精度从51%提高到81%，显示了这套规则学习和评价方法的有效性。

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