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三水平算法是以自组织理论为基础，采用多层迭代算法，主要用于复杂系统建模进行中长期预测。讨论了三水平算法进行中长期预测的成功优势及可行性，证明此算法提高了建模抗干扰性能力，对在噪声数据下建模具有重要的现实意义。
The three-level algorithm is based on self-organizing theory and adopts multi-layer iterative algorithm, which is mainly used for medium and long-term prediction of complex system modeling. The successful advantages and feasibility of the three-level algorithm in mid-long term prediction are discussed. The algorithm proves that this algorithm enhances modeling anti-interference ability and has important practical significance for modeling under noisy data.