Application of Genetic Algorithm and Neural Network in Construction Cost Estimate

摘要：

　　Genetic algorithm optimizing BP has been proposed to aim at handling locality minimum and low convergence speed.The method based on analyzing the basic fundamental states that how to use genetic algorithm to improve the ability of BP.After optimizing,the GA-BP model has been built up.The result of GA-BP model can get lower forecast error and iterations.For these reason,GA-BP model is appropriate for construction cost estimation.

关键词： neural network BP algorithm genetic algorithm construction cost estimate

作者: Guangli Feng Li Li

作者单位: School of Computer science and technology, Henan Institute of Engineering Zhengzhou, 451191, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 1036-1039

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）