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首页> 外文期刊>Procedia Computer Science >Artificial Neural Network Model to relate Organization Characteristics and Construction Project Delivery Methods
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Artificial Neural Network Model to relate Organization Characteristics and Construction Project Delivery Methods

机译:关联组织特征和建设项目交付方式的人工神经网络模型

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摘要

This study aims to relate organizational characteristics on preferences for project delivery methods (PDMs) in construction industry of Pakistan. Artificial Neural Network (ANN) based model is developed for predicting proportion of projects done by different types of organizations under various PDMs. It is found that ANN model give satisfactory accuracy in predicting these proportions for test and training datasets. It is found that client organizations are more inclined towards traditional methods, especially Design-Bid-Build (DBB). Consultant organizations had relatively higher proportion of projects done by Design-Build (DB) and other non-traditional methods. Most of the construction organizations belong to the private sector which showed an inclination towards DBB and DB methods. The non-traditional PDMs had relatively higher preference for organizations who are involved in infrastructure or other specialized projects. Organizations who have more projects showed more tendency towards non-traditional PDMs.
机译:这项研究旨在将组织特征与巴基斯坦建筑业对项目交付方式(PDM)的偏好联系起来。开发了基于人工神经网络(ANN)的模型,用于预测不同类型的PDM下不同类型的组织所完成项目的比例。发现在预测测试和训练数据集的比例时,ANN模型具有令人满意的准确性。发现客户组织更倾向于传统方法,尤其是设计投标构建(DBB)。咨询组织通过设计-建造(DB)和其他非传统方法完成的项目比例相对较高。大多数建筑组织属于私营部门,它们倾向于使用DBB和DB方法。对于参与基础架构或其他专业项目的组织,非传统PDM相对较高。拥有更多项目的组织显示出更多的非传统PDM趋势。

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