Study on GSOM model based on interval grey number

Abstract

Considered elements of input node and weight vector are interval grey numbers in Self-organizing Feature Map (SOM), normalized these interval grey numbers, defined the interval grey number Euclidean distance, and proposed Grey SOM (GSOM) model which can solve uncertain problems efficiently. In the end, we studied intelligent clustering of commercial bank off-site regulation empirically using this model. The result showed that: compared with traditional SOM model, GSOM is easy for programming, has a strengthened ability of anti-interference and a higher precision of classification.