| 项目后评估中的粗集-神经网络建模与仿真 |
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| 引用本文： | 陈莉,朱卫东.项目后评估中的粗集-神经网络建模与仿真[J].系统仿真学报,2006,18(8):2158-2161. |
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| 作者姓名： | 陈莉 朱卫东 |
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| 作者单位： | 1. 合肥工业大学,合肥,230009
2. 安徽建筑工业学院,合肥,230022 |
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| 基金项目： | 国家自然科学基金;安徽省自然科学基金;安徽省教育厅自然科学基金 |
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| 摘 要： | 对粗集-神经网络理论进行了讨论,在神经网络基础上,提出粗集-神经网络项目评估方法,该方法利用粗糙集理论对数据样本进行数据浓缩,从给定学习样本数据中发现一组规则,提取规则作为神经网络的输入,该方法简化了神经网络的结构,提高训练效率,对我国农业工程项目后评估进行仿真,评价结果是合理的,具有较大的参考价值,在实际中有良好的应用前景。
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| 关 键 词： | 粗糙集 神经网络 项目后评估 仿真 |
| 文章编号： | 1004-731X（2006）08-2158-04 |
| 收稿时间： | 2005-12-05 |
| 修稿时间： | 2006-03-30 |
Modeling and Simulation of Post-evaluation Based on Rough Set-Neural Network |
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| CHEN Li,ZHU Wei-dong.Modeling and Simulation of Post-evaluation Based on Rough Set-Neural Network[J].Journal of System Simulation,2006,18(8):2158-2161. |
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| Authors: | CHEN Li ZHU Wei-dong |
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| Institution: | 1 .Hefei University of Technology, Hefei 230009, China; 2.Anhui Institute of Architectural and Industry, Hefei 230022, China |
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| Abstract: | The theory of rough set-neural network was discussed.A new method for rough set-neural network based on the neural network was proposed,which used rough set theory to enrich data and extract the mapping rules from the sample data as the input of the neural network.A set of rules were found from the given training data by using Rough Set theory.The rough set-neural network based on reduction reduces the dimension of input to neural network,and raises the efficiency of training.The simulation of post-evaluation for agricultural engineering projects shows that the method is effective and reasonable.It shows their reference values.There will be good application prospect in practice. |
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| Keywords: | rough set neural network post-evaluating simulation |
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