| 基于人工神经网络的IT项目风险评价模型 |
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| 引用本文： | 冯楠,李敏强,寇纪淞,方德英.基于人工神经网络的IT项目风险评价模型[J].计算机工程与应用,2006,42(6):24-26. |
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| 作者姓名： | 冯楠 李敏强 寇纪淞 方德英 |
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| 作者单位： | 天津大学管理学院,天津,300072 |
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| 摘 要： | 首先论文在构建IT项目风险评价体系的基础上,提出一种基于人工神经网络的多指标综合风险评价模型。其次,利用神经网络的自学习和自适应能力,经过训练的神经网络系统能够将专家评价思想以连接权的方式赋予风险评价模型。最后,通过实际IT项目评价数据的验证,该风险评价模型能够准确地按照专家评价法进行工作。
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| 关 键 词： | IT项目 人工神经网络 风险评价模型 专家评价法 |
| 文章编号： | 1002-8331-（2006）06-0024-03 |
| 收稿时间： | 2005-12 |
| 修稿时间： | 2005-12 |
IT Project Risk Assessment Model Based on ANN |
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| Feng Nan,Li Minqiang,Kou Jisong,Fang Deying.IT Project Risk Assessment Model Based on ANN[J].Computer Engineering and Applications,2006,42(6):24-26. |
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| Authors: | Feng Nan Li Minqiang Kou Jisong Fang Deying |
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| Affiliation: | School of Management,Tianjin University,Tianjin 300072 |
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| Abstract: | Firstly,based on establishing a risk assessment system of IT projects,the article proposes a multi-target syn-thetic assessment model based on artificial neural network(ANN).Secondly,a trained ANN can endue risk assessment model with expert assessment knowledge in the way of joint weight through its learning and adapting capability.Finally,the risk assessment model is capable to simulate expert assessment method by verifying the data of IT projects assessment. |
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| Keywords: | IT project Artificial Neural Network(ANN) risk assessment model expert assessment method |
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