Reseach About The Growth Of List Bank Based On Support Vector Machine

Nowadays,the bank is the core of the financial community in the world, theoperation of a country’s economic is closely related with the bank’s development.Inthe field of finance opening and China’s banking industry to conform withinternational big environment, how to maintain the sustainable development of thebanking industry, has been to China’s commercial banks is both realistic and profoundsubject. The current our country commercial bank is facing a large number of foreignbanks in the market, performance, management and other aspects of the competition,domestic commercial banks to survive and profit space facing huge extrusion, andcultivate good growth capability has become China’s commercial banks to deal withthe crisis of the key, therefore, commercial banks should have a growing problem thedomestic industry key research questions. However, the growth of the commercialbanks of the research is just beginning. Even abroad, the study on this problem is canbe counted on one’s fingers. The stability of the banking sector on the growth ofdomestic financial fields, and even the whole national economy has a very goodleading role, so the bank growth research has the important theory and the practicalsignificance.This paper focuses on the current researches of growing areas, introducingsupport vector machine model. With the data from2006to2010, the authorresearched16listed banks. As the same time,60companies are chosen.So that theevaluation of the growth model is constructed, then we can make empirical study.This paper consider the safety, profitability, liquidity, development ability and theinternal environment based on the internal and external conditions, the purpose is tomake analysis about the bank growth ability better. And support vector machine in thegrowth research have a very good result, therefore it has a high practicalsignificance.in the growth of the prediction.The innovation of this paper is that this is the first time to contact support vectormachine model with the research of bank growth.. The model does not need to assumethe distribution of samples, and that it introducts into the SVM kernel function is agood solution to non-linear classification problems.