Financial prediction system based on technology combining genetic algorithm with BP neural network

摘要

Neural network has the powerful ability of dealing with the nonlinear system and mapping, which is applied widely on the financial prewarning and financial forecast. The coupling of the neutral network and genetic algorithm for the financial parameters of forecast system is based on the intelligent simulation algorithm. The key for the algorithm is that the genetic algorithm weights the value of the neutral network prediction financial system among the topology structure layers. We have proved that the coupling of genetic algorithm and neutral network can improve the efficiency and the prediction accuracy of the network system, which realizes the integrated coupling for the two intelligent simulation methods.