| 基于径向基神经网络的数字馆藏质量评价研究 |
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| 引用本文： | 张秀华,赵伟.基于径向基神经网络的数字馆藏质量评价研究[J].情报理论与实践,2009,32(5). |
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| 作者姓名： | 张秀华 赵伟 |
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| 作者单位： | 1. 鲁东大学,图书馆,山东,烟台,264025
2. 鲁东大学,网络中心,山东,烟台,264025 |
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| 基金项目： | 鲁东大学校基金项目的研究成果,项目编号:W20072301 |
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| 摘 要： | 根据径向基神经网络的自组织、自学习和自适应等特性,提出了基于径向基神经网络的数字馆藏质量评价方法,建立了评价模型,运用该模型对山东省烟台和威海地区的5所高校图书馆的数字馆藏进行了质量评价.通过MATLAB仿真试验结果分析,证明了其可行性和有效性.
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| 关 键 词： | 径向基 神经网络 数字馆藏 质量评价 |
Evaluation and Study of the Quality of Digital Collections Based on RBF Neural Network |
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| Zhang Xiuhua et al..Evaluation and Study of the Quality of Digital Collections Based on RBF Neural Network[J].Information Studies:Theory & Application,2009,32(5). |
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| Authors: | Zhang Xiuhua |
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| Abstract: | According to the self-organizing,self-learning and self-adapting characteristics of RBF neural network,this paper describes a method for evaluating the quality of digital collections based on RBF neural network,and constructs an evaluation model.The model is used to evaluate the quality of digital collections of 5 university libraries in Yantai and Weihai regions,Shandong Province.Analysis of the result of MATLAB simulation test proves that the model is feasible and effective. |
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| Keywords: | RBF neural network digital collection quality evaluation |
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