节点文献
基于神经网络的文献老化模型研究
Study on Literature Obsolescence Model Based on Neural Network
【摘要】 研究了利用神经网络建立文献老化模型的方法,提出了该方法的基本设计思想和算法实现过程,并通过实例进行了计算,利用建立好的神经网络模型计算出该文献的半衰期。与传统的B-K模型计算方法进行了比较,结果表明该算法用于文献老化是可行的,具有较高的精度。
【Abstract】 This paper studies the method for establishing the literature obsolescence model based on neural network,discusses the basic ideas of the method and its algorithm implementation process,and makes the calculation through actual examples,and figures out the literature’s half-life period by using the established neural network model,and makes the comparison with traditional calculating method based on B-K model,showing that the algorithm,which is feasible for the literature obsolescence,has higher accuracy.
- 【文献出处】 科技情报开发与经济 ,Sci-Tech Information Development & Economy , 编辑部邮箱 ,2011年35期
- 【分类号】G253
- 【被引频次】2
- 【下载频次】85