Contractor Prequalification Based on Neural Networks

作     者：ZHANG Jin-long, YANG Lan-rongCollege of Management, Huazhong University of Science and Technology, Wuhan 430074, China 

作者机构：College of Management Huazhong University of Science and Technology Wuhan 430074 China 

出 版 物：《Systems Science and Systems Engineering》 (系统科学与系统工程学报（英文版）)

年 卷 期：2002年第11卷第2期

页      面：209-214页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：prequalification neural networks 

摘      要：Contractor Prequalification involves the screening of contractors by a project owner, according to a given set of criteria, in order to determine their competence to perform the work if awarded the construction contract. This paper introduces the capabilities of neural networks in solving problems related to contractor prequalification. The neural network systems for contractor prequalification has an input vector of 8 components and an output vector of 1 component. The output vector represents whether a contractor is qualified or not qualified to submit a bid on a project.