基于贝叶斯网络的公路工程造价指数预测模型研究

Prediction Model of Highway Engineering Cost Index Based on Bayesian Network

本文拟通过贝叶斯网络的结构学习建立造价指数影响因素间的因果关系,通过参数学习建立影响因素之间的条件概率分布;并以此为基础构建基于贝叶斯网络的造价指数预测专家系统,为造价指数的动态变化提供一种新方法。

This paper intends to establish the causal relationship between the influencing factors of cost index by Bayesian network structure learning,and establish the conditional probability distribution between the influencing factors by parameter learning.On this basis,a cost index prediction expert system based on Bayesian network is constructed to provide a new method for the dynamic change of cost index.