Aiming the square sum of error (SSE), we construct the algorithm to iterate and select an optimal parameter for optimizing the new models, which ADAPTS the model to time series more.

又以预测误差平方和SSE最小为目标，构造了优选并自动生成最佳平滑参数使平滑模型得以优化的最速下降算法，增强了指数平滑模型对时间序列的适应能力。

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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.

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。

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