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以稳定的浸取常数为基础,建立了用于铅相态分析的数学模型。将聚类法与人工神经网络相结合,用于模拟地质样品的铅的相态分析,其相对误差小于±4％,且明显优于传统的系统分析方法。该法快速简便。
Based on the stable leaching constant, a mathematical model for the analysis of phase state of lead was established. The clustering method combined with artificial neural network is used to simulate the phase state analysis of lead in geological samples with the relative error less than ± 4% and is obviously superior to the traditional method of system analysis. The method is quick and easy.