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.
Neural Network Rough Set Construction Cost
Yu Wenhui
School of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan, China, 430023
国际会议
重庆
英文
1350-1353
2009-12-25(万方平台首次上网日期,不代表论文的发表时间)