Notice of Retraction Application of Simulated Annealing BP Neural Network in Financial Crisis Early Warning

摘要: The establishment financial crisis early warning system has the very vital significance to national economy's construction, is a complex non-linear problem, present model based on linear method, but neural network suitable processing problem. This paper improves BP algorithm with simulation annealing algorithm, effectively overcomes shortcoming of easily fall into local minimum, enhances performance, and will fuse apply forewarns in crisis, findings indicated that fusion algorithm's performance highly effective, forecast precise.