同时本文采用ISE(误差平方积分)性能指标量化地评价了这种设计方法。

Meanwhile, this paper quantitatively evaluates the design method using ISE (integral of square error) performance criterion.

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大系统的模型最优简化的积分平方误差法，至今仅仅对输入函数为脉冲、幂函数和正弦函数时有效。

For optimal model - reduction of large scale systems, up to now, the integral-square - error method has been developed for systems with impulse, power or sine function inputs only.

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在这个意义上，是最小平方误差的积分的第一学习确定的最佳的学习增益，从而选择学习增益的目的是明确的。

The optimum of the learning gains is determined in the sense that the integral of square error of the first learning is minimal, thus the aim of choosing learning gains is clear.

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