摘要
利用人工神经网络对化探样品中金的三种存在形态(水提取态、吸附态、有机态)的含量同时进行了预测,计算结果与传统浸取方法的结果相吻合,相对误差一般小于10%,相对标准偏差在1.68%~8,94%。该法简便、快速。
Artificial neural network (ANN) was applied to the simultaneous determination of gold species (water extractable species, adsorpted species and organic species) in geochemical samples. The relative deviations of the prediction to the reference values are less than +/-10%, the relative standard deviation is 1.7%similar to8.9% for the determination of geochemical samples (n=17). The calculated results of this method axe in agreement with those of traditional soaking method. The method is simple and quick.
出处
《分析化学》
SCIE
EI
CAS
CSCD
北大核心
2002年第1期62-65,共4页
Chinese Journal of Analytical Chemistry
基金
国家自然科学基金资助项目(No.29975004)