Research on the Intelligent Assessment Method of Rural Financial Risks Under Supply-Side Structural Reform

Aiming at the problem of poor reliability of traditional financial risk assessment models, a rural financial risk assessment model is constructed under the background of supply-side structural reform. The structure of the evaluation model based on neural network is determined and the improved negative selection algorithm is used to generate the rural financial risk identification detector. The detection results of the identification detector are mapped to the nodes of the risk decision tree according to the mapping relationship, and the risk assessment model of rural finance is constructed. Compared with the traditional financial risk assessment model, it is proved that the rural financial risk assessment model under the background of supply-side structural reform is more reliable and superior.