Intelligent Financial Crisis Warning and Its Diagnosis:Based on the Networks of SABNM
Yonghua Wang · Shenji yu jingji yanjiu · 2013
With the complex economic environment and increasing information level,enterprises are paying more and more attention to the effectiveness and intelligence of financial crisis warning and diagnosis.SABNM uses the genetic algorithm to search the optimal Bias network.By using the forward chained reasoning,we give a financial crisis warning,and by using backward chained reasoning,we make a financial crisis diagnosis,thus avoiding the limit of statistics and the deficiency of artificial nerve system.The experiment indicates that the predict model of SABNM is accurate and its short-term prediction is better that that of medium and long-term.Also,the result of diagnosis is basically in line with the actual result.