有色金属类上市公司财务评价的自组织随机模型

A Financial Evaluation of Self-organizing Feature Map Network and Random Simulation of Nonferrous Metals Companies

有色金属资源是国民经济的命脉 ,也是国民经济可持续发展的资源基础 ,本文建立了分类的自组织特征映射神经网络模型 ,将其用于对 1 7家有色金属类上市公司的分类 ,并用随机模型对其进行财务评价 ,以利于辅助投资决策 .最后通过实例验证 ,该方法可行 ,分类效果好 。

Nonferrous metals are the key of our national economy and the basis of the sustainable development of economy. A new self-organizing feature map network for classification is established and is used to evaluate the finance of 17 nonferrous companies for stock investment. Through the experimental verification of the random simulation, the new model is feasible in classification and avoids the irrational effects of the experts.