A self-tuning robust explicit algorithm with normalization and dead-zone is presented combining generalized minimum variance with pole-placement strategy , with the robustness discussed.

本文将广义最小方差策略与极点配置策略相结合并采用正则化及相对死区技术提出了一种鲁棒自校正显式算法，并给出了鲁棒性分析，物理实验结果和仿真结果。

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The model for warm temperate zone has the strongest explaining capacity, which can account for 31.9% of the variance of forest procucti vity. 4.

在暖温带上，林分因子和环境因子共同解释的森林生产力变化的能力最强，可达31.9%。

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