基于BSA-ELM模型的建筑项目施工成本预测研究

Research on Construction Cost Prediction of Construction Project Based on BSA-ELM Model

为降低建筑施工项目的管理成本,提出一种基于BSA-ELM的建筑项目施工成本预测模型。首先介绍ELM神经网络算法和BSA算法;其次利用BSA算法的优势对ELM模型进行优化,从而形成一种基于BSA-ELM的预测模型;最后对基于BSA-ELM建筑项目施工成本预测模型进行测试,将其与传统的预测模型进行对比。结果证明,BSA-ELM预测模型的性能更好,预测精度更高。

In order to reduce the management cost of construction projects and reduce the economic burden of enterprises,this study proposes a construction cost prediction model of construction projects based on BSA-ELM.Firstly,ELM neural network algorithm and BSA algorithm are introduced.Secondly,the ELM model is optimized by using the advantages of BSA algorithm,so as to form a prediction model based on BSA-ELM;Finally,the construction cost prediction model based on BSA-ELM is tested and compared with the traditional prediction model.The results show that the performance of BSA-ELM prediction model is better and the prediction accuracy is higher.