Study of neural network model based on rough set and genetic algorithm

A neural network model based on rough set theory and genetic algorithm and its modeling way are proposed.First,the attributes are reduced using rough set theory;then the BP network parameter are optimized using the genetic algorithms;finally carries on the training by the reduction results and the optimized BP network parameter.The simulation experimental result shows that the model can simplify the network training sample,optimize the neural network structure and enhance the system study efficiency and the precision. This method is effective,feasible and has the theory significance and the practical value.