A Novel Neural Network Combined with Rough Set to Predicting Construction Cost

Considering the shortcomings of conventional cost prediction methods, neural network was adopted to establish the cost prediction model of equipment system, which could efficiently solve the problems on the determination of network structure. And due to the importance of parameters optimization in Neural Network model, rough set was used to optimize the model parameters. The experiment results show that method can quickly obtain the optimal parameters satisfying the precision requirement with a simple calculation, which solves the problem of complex calculation and empiricism in conventional methods. The evaluation on the testing cases shows the neural network model with rough set has a good generalization performance and can be popularized in cost prediction. At last, the experiment on an independent testing case shows the model optimized by neural network combined with rough set has a better prediction performance.