| 读者满意度评价指标体系智能优化技术 |
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| 引用本文： | 陈心蓉.读者满意度评价指标体系智能优化技术[J].图书情报工作,2009,53(7):113-116. |
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| 作者姓名： | 陈心蓉 |
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| 作者单位： | 嘉兴学院 |
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| 摘 要： | 在分析图书馆读者满意度评价工作中指标体系关键作用的基础上，给出基于相关性理论的指标集智能优化技术和具体步骤以及基于BP神经网络的权值优化模型和步骤，并针对具体权值优化模型提出权值优化过程中迭代控制机制。
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| 关 键 词： | 图书馆 读者满意度 指标体系 优化技术 |
| 收稿时间： | 2008-10-20 |
| 修稿时间： | 2008-12-29 |
An Optimizing Technique with Intelligence for Evaluation Index System of Reader Satisfaction |
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| Chen Xinrong.An Optimizing Technique with Intelligence for Evaluation Index System of Reader Satisfaction[J].Library and Information Service,2009,53(7):113-116. |
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| Authors: | Chen Xinrong |
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| Abstract: | Based on analyzing the importance of evaluation index system for satisfaction evaluating by library readers,an optimizing technique relativity theory based with intelligence and the process for the evaluation index system is given.After giving an optimizing model BP neural network based and the process for weigh, the paper proposes a control mechanism for the weight updating for the model. |
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| Keywords: | library reader satisfaction index system optimizing technique |
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