基于实例克隆的ICSMOreg算法及在铀矿床蚀变矿物水云母中的物谱建模研究

水云母足花岗岩型铀矿床蚀变带中的一种典型蚀变矿物,它也是铀矿找矿的一个重要标志.水云母含量的大小能在一定程度上体现铀矿床水云母化的强弱.传统建模方法对水云母含量的预测效果较差.文章将回归支持向量机SMOreg应用到水云母物谱关联建模中,并在验证其有效性的基础上提出一种基于实例克隆的ICSMOreg方法,以构建水云母含量...

A novel SMOreg algorithm based on instance cloned and its research on spectral modeling for hydromica in uranium deposit

Hydromica is a typical alteration mineral in granite-type uranium deposit, and also an important indication of uranium. The amount of hydromica to some extent reflects the strength of hydromicasization in uranium deposit. Because of the bad performance of the traditional modelling methods in prediction, in the present paper, the authors' adopt SMOreg in the spectral modelling for hydromica, and validate its effectiveness. The authors' also propose a novel method called ICSMOreg. In this method the authors' employ instance cloned method to learn the samples selected by having a strong affinity with the test sets, and then get the new samples into SMOreg to build the spectral model. Finally, we experimentally compare ICSMOreg with SMOreg, artificial neural network, model tree and the common modelling methods like linear regression, multiple linear regression. The result shows that the new method improves the accuracy of prediction, and also reduces the negative impact of noise.