The learning algorithm and the characteristics of the fuzzy rules model which can approximate the experiment data are shown to converge to any arbitrary accuracy by the theoretical analysis.

理论分析说明这种模糊规则后件参数学习算法是收敛的、所建模糊模型能够以要求的精度逼近已知的实验数据。

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Based on new experimental data at home in recent years, the approximate value of mean value coefficient and the practical formulas for computing prestress losses are presented.

根据近年来国内新的试验资料，提出了中值系数的近似位以及相应的预应力损失实用计算公式。

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To make the needs of data recognition, an important binary-dimensional approximate space, rectangular approximate space, are specially constructed.

为数据识别的需要，特别构造了一类重要的二维近似空间——矩形近似空间。

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By assembling enough data points of actions, they can start to approximate the curved lines that are human beings.

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