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本文提出一种利用低层中间变量建立综合模型的 GMDH 算法,可以得到结构简洁、稳定性较好的模型。将其应用于高炉含硅量预报,仿真表明可以给出较好的结果。
In this paper, we propose a GMDH algorithm that uses a low-level intermediate variable to build a comprehensive model, which gives a concise and stable model. Applying it to predict the silicon content in blast furnace, the simulation shows that it can give better results.