人工神经网络的建设工期定额地域分类  

Regionally Categorize the Working-Day Norm of Construction Work by Applying Artficial Neural Network

作　　者：张云波[1] 胡云昌[2] 

机构地区：[1]华侨大学土木工程系,福建泉州362011 [2]天津大学建筑工程学院,天津300072

出　　处：《华侨大学学报（自然科学版）》2004年第3期270-274,共5页Journal of Huaqiao University(Natural Science)

基　　金：福建省自然科学基金资助项目 (E9910 0 2 6 )

摘　　要：对影响建设工程工期的因素进行分析 .根据各地区不同的自然建设条件 ,对全国 31个省的省会城市的自然条件列为输入矢量 .应用自组织竞争网络的聚类功能、Matlab 6 .1软件编程和 2～ 9类区分法 ,分别划分出建设工期定额的地域类别 .通过对计算成果的分析 ,提出按 4类划分建设工程工期定额的地域分类方法 .它能区分不同地区自然建设条件的差异 。The factors influencing construction period are analysed. The natural conditions of 31 provincial capitals in our country are listed as input vectors according to different natural conditions of construction in various regions. On this basis, the regional category of working day norm of construction is divided respectively by applying the clustering function of self organizing competitive networks and Matlab 6.1 software programming and 2~9 category division. After analysing the reckoning, the author puts forward a regional 4 category division for categorizing working day norm of construction work. By which the regional differences in natural conditions of construction can be distinguished, and the formulation of working day norm can be even more reasonable.

关 键 词：自组织神经网络 工期定额 地域类别 聚类分析 

分 类 号：TU712.1[建筑科学—建筑技术科学] TP183[自动化与计算机技术—控制理论与控制工程]