| Contractor Prequalification Based on Neural Networks |
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| 引用本文： | ZHANGJin－long,YANGLan－rong. Contractor Prequalification Based on Neural Networks[J]. 系统科学与系统工程学报(英文版), 2002, 11(2): 209-214 |
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| 作者姓名： | ZHANGJin－long YANGLan－rong |
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| 作者单位： | ZHANG Jin-long，YANG Lan-rongCollege of Management，Huazhong University of Science and Technology，Wuhan 430074，China |
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| 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.
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| 关 键 词： | 工程项目 承包商 人工神经网络 |
Contractor Prequalification Based on Neural Networks |
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| ZHANG Jin-long,YANG Lan-rong. Contractor Prequalification Based on Neural Networks[J]. Journal of Systems Science and Systems Engineering, 2002, 11(2): 209-214 |
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| Authors: | ZHANG Jin-long YANG Lan-rong |
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| Affiliation: | College of Management, Huazhong University of Science and Technology, Wuhan 430074, China |
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| Abstract: | 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. |
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| Keywords: | prequalification neural networks |
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