选择(遗传算法)
计算机科学
机器学习
估计
人工智能
选型
工业工程
工程类
系统工程
作者
Rui Wang,Hafez Salleh,Zulkiflee Abdul-Samad,Nabilah Filzah Mohd Radzuan,Kaijie Wen
出处
期刊:PLANNING MALAYSIA JOURNAL
[Malaysian Institute of Planners]
日期:2024-07-29
卷期号:22
标识
DOI:10.21837/pm.v22i32.1505
摘要
Ensuring the identification of building attributes is the primary task in developing a machine learning cost estimation model. However, the existing research on building attributes has the following shortcomings: it struggles to categorize building characteristics according to various cost types, and the suggested sets of attributes do not clearly establish measurement standards for these qualities. To address these issues, this study aims to select a set of building attributes suitable for conceptual cost estimation and establishment of measurement standards. Through a two-round process of focused group discussions, this research ultimately identified 13 building attributes that can be collected before the completion of building design. These attributes serve as a basis for assessing completed building projects during the model development phase and for evaluating new projects during the model application phase. This study provides a foundational framework for the development of conceptual cost estimation models, ultimately enhancing the accuracy of machine learning cost estimation models.
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